2. Database Engineer, SQL Server Resume Examples & Samples Build, scale, and administer Facebook’s internal enterprise RDBMS databases including Oracle and Microsoft SQL Server Own the technical stack from end-to-end: from servers to OS to databases to applications and everything in-between Built a Hortonworks Cluster on Confidential Azure to extract actionable insights for data collected from IOT sensors installed in excavators. Skills For Azure / AWS Cloud Engineer Resume Mentoring and training of cloud technologies to related IT teams in provisioning and managing AWS services Understanding of configuration, administration, patching, performance tuning/optimization, and troubleshooting for cloud or virtualization platforms Owned the solution design, technical architecture and pricing piece of one of largest Government analytics initiatives with an approved budget of $363 million. Azure/devops Engineer Resume Framingham, MA. In process of ramping up on Confidential Azure to enable the creation and management of Big Data architectures using MS Azure. Good knowledge & experience on Cloud Computing like Azure/AWS Experience working as a DEVOPS Automation Engineer for database deployment Experience in designing ETL for data movement between excel, flat file, RDBMS like Oracle, DB2 and SQL Server using Bulk Insert, BCP utility, DTS and a variety of SSIS(ispac) … Architected the congregation of 3 key components of the Big Data platform, On-Prem third party Massively Parallel Platform (MPP) hardware, Chose Confidential ’s distribution of Apache Hadoop after extensive performance evaluations with two other vendors of Hadoop that included the below. Project Envisaged installing around 70,000 electric consumption smart meters at residences and small scale industries all controlled by a smart grid. Enterprise architect for Sales and Marketing IT organization specialising in areas of Enterprise Architecture for Big Data, Hadoop and Analytics. Automate deployment and troubleshoot mechanisms for quick … Apply to Database Administrator, Database Engineer, Senior Database Administrator and more! Provided hands on installation leadership and guidance on setting up and managing the Cloudera Hadoop Cluster with data at rest and data in motion encryption. Azure Devops Engineer Roles & Responsibilities: Automated Continuous Integration builds, nightly builds, deployments and unit tests across multiple different environments ( DEV , QA, Training, Production) each constituting different types of servers (DB, App, Web) and different number of servers of each type (for load … Designed the cluster for processing enterprise structured data from data warehouses like Teradata and SAP HANA and unstructured data from weblogs, XML, social Media and flat files. And it also pays well. Involved in migration to AWS from … Conceptualizing and migration of SAP Upstream systems to AWS to reduce TCO. Creation of simple reports from excelcious. Sized and designed scalable Big Data landscapes with central Hadoop processing platforms and associated technologies like ETL tools and NoSQL databases on both Cloud and On-Prem hardware to enable end to end business use cases. Responsibilities Uses Azure Data Factory (ADF) to create multiple complex pipelines and activities using both Azure and On-Prem data stores for full and incremental data loads into a Cloud DW…Seeking a Cloud Data Developer that has proven Azure Cloud skills based around the design and development of multiple data pipelines … Solution utilized PowerBI, Enterprise Gateway and Azure SQL Server. Conducted numerous training sessions, demonstration sessions on BigData for various Government and Private sector customers ramping them up on Azure Big Data solutions. Strong experience in Azure Cloud platforms like. Translated the requirements which included Comparison of Scope and Strategy, Comparison of Scope of advice and recommended products, Cost comparison, Lost Benefits, Insurance ownership into effective mapreduce algorithms which were then run on the Financial Statement of Advice documents. Deploy, Configure, Maintain Compute on Azure Cloud. DataNodes: 26 TB HDFS raw storage / node with 96GB of RAM / node. Take an in-depth look at Azure SQL Database and Azure SQL Managed Instance—and see how to use your existing SQL Server skills to get started with your on-premises migration. Working with the customer chief architect to define his vision and help him in tool selection. Enabled multiple Big Data use cases for customers ranging from Security as a service to Customer sentiment analysis, Enabled Big Data analytics using Hadoop to create predictive engine in SAP applications like SAP CRM. During an Azure Data Engineer interview, the interviewer may ask questions related to DevOps, CI/CD, Security, Infrastructure as a Code best practices, Subscription and Billing Management etc. Get the Professional Azure SQL Managed Database Administration e-book for detailed, easy-to-follow guidance and activity plans to help you deploy, configure, and manage your own SQL Databases with Azure. Architected Big Data clusters on the cloud to ingest and write data from and to Amazon S3 storage and Redshift to keep cost of data storage to a minimum. Designed an Azure EventHub and Stream Analytics architecture fulfilling the analytics and data storage requirement for a Smart Grid project. An Azure Data Engineer will be expected to be able to create and deploy infrastructure that stores and organizes data so that it can be fed into data … Possesses hands on experience in Cloudera Hadoop, HortonWorks Hadoop, various ETL tools, Cassandra, and various Confidential IaaS/PaaS services. Sign in. The consortium of Confidential was declared both T1(Technically most competitive) and L1(Price Wise most competitive). Worked with the ETL Team to load the Financial Statements of Advice ( SoA ) into the HDFS layer. Azure SQL Database Sample Resumes Real-time Interview Questions : Basic to Advanced, available free. Rated Top Data Platform Architect in Confidential ’s Connect(Appraisal Program). Provided insight into Data at rest encryption using Navigator Encrypt utility. Involved in conceptualization and design of an Confidential Big Data Platform to extract structured and unstructured data from Enterprise transactional systems and then applying Big Data analysis techniques and Apache mahout machine learning techniques to determine customer sentiment. Designed a multi layered security architecture by creating a system for project isolation within the cluster preventing users from accidentally viewing or deleting data from another project’s centre. Designed an end to end analytical landscape involving PowerBI dashboards connected to backend SQL Server 2016 system on Azure to enable a government infrastructure agency to analyse/detect fraud in over Rs 4.6 Billion worth of annual Tenders. This initiative has helped in the sales and account mining process with a significant percentage of customers reengaging after a successful proof of concepts leading to the generation of active Big Data projects. To write great resume for azure architect job, your resume must include: Your contact information. Enabled the ‘Capacity Scheduler’ to balance Hadoop cluster resources, enabling multiple Mapreduce batch jobs to run in parallel on the cluster. Conducted multiple workshops with the business to understand the data and determine which insights would bring the most immediate value. Integrate relational data sources with other unstructured datasets with the us… Designed and built multiple Elastic Map Reduce( EMR) clusters on AWS cloud for Hadoop map reduce applications for enabling multiple proof of concepts. The Tender was awarded to this consortium in January 2017. Designed the Hadoop platform for high performance and low cost when compared with existing in-house data warehousing systems. Used Cloudera Manager and Cloudera Director to install separate Hadoop Clusters for Development and Testing. This was to enable use cases which used distributions of Cloudera Hadoop or Hortonworks Hadoop. Strong experience of leading multiple Azure Big Data and Data transformation implementations in Banking and Financial Services, High Tech and Utilities industries. Designed machine learning models for a major systems integrator to predict datacentre failure rates. Azure Data Engineer/ Design Responsibilities: Designed and architected scalable data processing and analytics solutions, including technical feasibility, integration, development for Big Data storage, processing and consumption of Azure data, analytics, big data (Hadoop, Spark), business intelligence (Reporting … Transitioned the cluster to production support and managed production support activities like Cluster space management, maintenance of critical services like Mapreduce, Hive, Impala till handover to managed services. Installed HortonWorks Hadoop cluster on Confidential Azure cloud in the UK region to satisfy customer’s data locality needs, Created Data ingestion methods using SAP BODS to load data from SAP CRM and SAP ECC into HDFS. Developed a predictive analytics engine to deliver information and insights using real time ongoing predictive analytics. Azure Database Migration Service Simplify on-premises database migration to the cloud; ... our user is interested in transitioning from a Software Engineering role to Program Management. Ease of administration, operation and upgrades. Architected multiple projects using Hadoop both in fresh implementation and production support cases. You will still be able to earn this certification by passing DP-200 and DP-201 until they retire on June 30, 2021. Azure Data Factory copy activity now supports resume from last failed run when you copy files between file-based data stores including Amazon S3, Google Cloud Storage, Azure Blob, and Azure Data Lake Storage Gen2, along with many more. Controlling user access to using coarse security using Linux access protocols and integration with LDAP for users to seamlessly access HUE. 9,199 Azure Resumes available on PostJobFree.com. Data Engineers are responsible for designing and implementing ways to govern, supervise, and secure a company’s data using tools from across Azure’s swathe of data services. Designed and built a machine learning model to predict airline ticket prediction for a system integrator that enabled them to reduce their employee travel expenditure by 26%. A Data Platform Solution Architect presently associated with Confidential Corporation with a strong consulting and presales background possessing 15 years of hands on experience in Big Data, Data Science, Cloud and Enterprise applications. Many services in Azure allow certain cost savings through automation, this can also be achieved with the Platform-as-a-Service “Azure SQL Database”, this is what this blog post is all about. Successfully strategized and executed multiple enterprise cloud transformation programs in areas of Big Data and Enterprise Applications in the below areas. ), Extensively worked on system analysis, design, development, testing and implementation of projects (SDLC) with different methodologies like, Experience in Data Centre Migration Activities, Good Knowledge on NoSQL database like MongoDB (University Certified), Dynamo & Cosmos DB, Design, implement and administer databases on MS SQL Server 2014/2016 platforms for OLTP, Migrating on-premises SQL Server Database to, Implemented new SQL Server features by performing successful, Experience in managing Very Large databases (VLDB) and troubleshooting problems, Have Good understanding & experience on different, Experienced in Securing data with Dynamic Data Masking, Always Encrypted, Row-level security, Design, implement and administer databases on MS SQL Server 2012/2014 platforms for OLTP, Experience in Migrating SQL Server databases to Amazon RDS, Experienced in designing database and code with proper, Ensuring Database security by restricting and following corporate standards, Perform query optimization & performance tuning using tools like SQL, SecureFX Configuration with Perl Scripts for File Transfer, Good Knowledge in TFS 2015 and Microsoft RM, Installing & Administrating SQL SERVER 2000,2005,2008,2008 R2, MySQL 5.5 & 5.6, Installed Stand-alone SQL Server on VMWare, Upgraded databases from SQL Server 2000 to SQL Server 2005 and 2005 to 2008, Expertise in Database Maintenance Plan Wizard, creating, scheduling Maintenance Jobs, Implemented disaster recovery solution Database Mirroring, Log Shipping and Replication, Experience in maintenance and Administration of SSIS by creating Jobs, Alerts, SQL Mail Agent, and schedule, Transformed data from one server to other servers using tools like Bulk Copy Program (BCP), Data Transformation Services (DTS) and SQL Server Integration Services (SSIS), Implemented SQL Server OLAP services(SSAS) for building data cubes, Developed MDX scripts to create datasets to perform reporting and included interactive drill down reports, report models, Experience in Designing Multidimensional model, creating Parameterized Reports, KPI, Scorecards, Designed & built Cubes with Star/Snowflake Schema, created several Dashboards and Scorecards with Key Performance Indicators (KPI) in Analysis Services (SSAS), Used Index tuning wizard to redesign and created the indexes for better performance, Fine tune Stored Procedures using Execution Plan in T-SQL for better performance, Streamlined the server/database level security by creating the Windows and SQL logins with the appropriate server/dB roles and object level permissions, Executed Change management scripts on daily/weekly basis. Worked with various teams from Confidential Product Engineering, SAS Institute, Hortonworks and System integrators to string together and manage a consortium of vendors who pitched the offering to the government. Search for: Jobs Resumes. Project is inflight and is work is progress to enable multiple insights for the Owner, dealer and manufacturer. Azure Architect Resume Samples and examples of curated bullet points for your resume to help you get an interview. Designed and built a Data Discovery Platform for a large system integrator using Azure HdInsight components. Work experience. Azure Resumes. Implemented compaction scanning for BW-Tree index. Integrated system to Confidential ’s Enterprise Access Management tool (EAM) and Active Directory for seamless authentication into the system. ... when a user uploads a resume, we upload it to Azure Blob storage and run an Azure Search indexer. Database Cloud Support Engineer Resume Examples & Samples. Architected the Big data Landscape components on AWS cloud which included Linux staging server, Informatica Big Data edition, Cloudera Hadoop (CDH 5.2.1), Amazon Redshift and Qlikview. Currently working on enabling a Hadoop cluster to enable the extraction and processing of Customer data from Confidential web interaction sites. Lead architect in a Big Data implementation for an Australian Financial Services customer enabling Advice Compliance Monitoring using Cloudera Hadoop CDH 5.2.1 and associated Big Data technologies. Privacy policy Processed the data in HDP using Hive and provided simple analytics using Highcharts on a Meteor UI platform. Advanced Search. Establish an enterprise-wide data hub consisting of a data warehouse for structured data and a data lake for semi-structured and unstructured data. Designed the process to move an older data warehousing architecture from a Abinito - Teradata based system to BODS, SLT, SAP HANA based system. Created methodologies to extract and load data from flat files( Sales Commissions and Geo Discounts) into SAP HANA using SAP BODS, Identified tables extracted from SAP ECC, SAP SCM and SAP CRM and designed methodologies to load these tables into HANA using SAP Landscape transformation(SLT) service, Improved the and transformation logic in BODS to reduce errors in master data and transaction data to reduce jobs from failing in SAP BW, Generated EOL plans for Ab-inito and Teradata based systems to ensure smooth rollover into SAP HANA. This approach can also be used to: 1. Successfully delivered on the below big data use cases at Confidential resulting in a total estimated savings of $10 M a year. Also trying out SparkSQL as an alternative. Designing logical zones for data in MapR PoC clusters for loading data. Owned multiple end - to-end transformations of customer business analytics challenges decomposing them into a combination of suitable infrastructure (IaaS/PaaS/Hybrid) and software (Mapreduce) paradigms and then used machine learning algorithms to derive effective intelligence from data lakes. Additional Interview Questions and … Implemented Microservices on Open Shift based on Docker to achieve Continuous Delivery; Enabled cloud watch and Ganglia on large AWS based cloud clusters to enable effective monitoring of clusters. The analysis was conducted by collating sensor and maintenance data from multiple sources like engine oil temperature, pressure, maintenance history, battery level and fuel gradient. Take advantage of this feature to easily and performantly ingest or migrate large-scale data, for example, from Amazon S3 to Azure … Set up data processing tools like Hive, Pig for processing data. Led multiple PoCs with the aforementioned Big Data platform demonstrating value to business groups. Orchestrated cross-organisational partnership for activities like evaluation of Apache Hadoop distribution, cluster design, hardware selection and wiring, security and access management, integration of ingestion and extraction tools with existing enterprise landscape. Azure Architect role is responsible for technical, training, cloud, technologies, architecture, database, development, leadership, technology, troubleshooting. Microsoft Certified: Azure Data Engineer Associate EXAMS DP-200 AND DP-201 WILL BE REPLACED WITH EXAM DP-203 ON FEBRUARY 23, 2021. | Cookie policy. 7.5 Petabytes. It’s hot. Redesigned distributed copy logic to optimize latencies. Microsoft Certified: Azure Security Engineer Associate ... implement Azure SQL Database Always Encrypted Configure and manage Key Vault manage access to Key Vault manage permissions to secrets, certificates, and keys configure RBAC usage in Azure Key Vault

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