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Database Administrator/data Architect Resume

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TECHNICAL SKILLS

Programming: TSQL, PSQL, PL/SQL, Oracle, SSIS/SSRS/SSAS, PowerShell, XML, Java Script, .NET, C, C++, C#, JSON, AWS Lambda/CLI, Pathon, PySpark/Spark, HIVE

Application/Service: SQL Server 2017/2016/2014/2012/2008 R2/2008/2005, Azure, AWS (EC2, RDS, S3, EMR, Redshift, Aurora, DMS, Glue, Athena, Kinesis, Data Lakes), MySQL, PostgreSQL, NoSQL(MongoDB, DynamoDB, Elastic Search ), ER - Studio, Toad, Visio, JIRA, TFS, ServiceNow, Salesforce, PowerBI, Tableau, QuikSite, Snowflakes, MuleSoft, Informatica, Talend, IBM Infosphere, VMware, vSphere

DBA Tool: Idera, Redgate, Solarwinds, Extrahops, MS PAL, Ignite, LiteSpeed, commVault, sCOM, DoubleTakes, Nagios, PssDiag, Cloudera, CloudCraft, CloudBerry, CloudWatch, SNS

PROFESSIONAL EXPERIENCE

Database Administrator/Data Architect

Confidential

Responsibilities:

  • Provide technical leadership to ensure high availability, security, stability and scalability of OLTP/ OLAP database systems & accuracy and consistency of data on premises & cloud platforms;
  • Make architectural decisions to optimize database/pipeline performance and minimize infrastructure cost;
  • Advise security solutions to protect/encrypt data in - transit & at-rest and ensure compliance with HIPAA & industry regulations;
  • Provide technical leadership in build/maintain HA/DR database solutions across datacenters & cloud per RPO, RTO & SLAs;
  • Lead to develop backup recovery & BCP plans and facilitate quarterly backup recovery drills & BCP rehearsals;
  • Drive database backup retention from NAS to offsite, S3 & Glacier on AWS;
  • Lead to roll-in upgrade SQL Server 2014 AlwaysOn clusters to SQL Server 2016 AlwaysOn multi-subnet Geo-clusters with transactional replication to AWS Redshift via DMS, Glue, Lambda & Lake Formation integration;
  • Lead to setup Aurora clusters, migrate MySQL/SQL databases, monitor/tune performance of the clusters & databases objects;
  • Lead to build & migrate SQL databases to RDS, EC2, Redshift, Data Lake, tune performance, compression per best practice;
  • Design data pipelines to stream/batch transfer data from various data platforms to Data Lake, Redshift/Spectrums, Snowflakes;
  • Architect Data Lakes to enable silo data discoverable & reusable via Glue, Athena, Redshift Spectrums for analytics, BI & ML;
  • Guide server provisioning, cluster configuration, performance tuning and query/index/distribution key optimizations;
  • Define/develop enterprise database system standard & operational level agreement;
  • Drive to automate workflow, ticketing, tracking, monitoring & notification systems by leveraging infrastructure tools;
  • Evaluate vendor solutions, manage vendor relations, SOWs and licensing;
  • Support enterprise Informatica, Talend, SSIS ETL/ELT data pipeline/streaming & MuleSoft integrations;
  • Support escalated database issues for 24/7 on-calls & participate leadership on-call support rotations

Sr. Database Developer/Architect

Confidential

Responsibilities:

  • Responsible for server/instance/database/object all level of performance tuning for high traffic & fault tolerant OLTP/OLAP systems of SQL server 2012, 2014, 2016 hosted in data centers & Azure;
  • Led design centralized master repository to eliminate data conversions, redundancies, discrepancies & network round trips; Built and deployed Data Governance and MDM systems to define, integrate, cleanse & manage data & data flow via MS MDS;
  • Diagnosed problems/bottlenecks, triaged/resolved issues & recommended solutions across various tiers: application, network, database, server & storage;
  • Led design/implement/support database security/encryption, audit, database upgrade & migrations;
  • Led to setup CDC from SQL database to Oracle Cloud & Salesforce; Provided guidance, training & mentorship to AppDev team on database standards and best practices;
  • Created monitor solutions to report performance & growth, audited changes of all database objects;
  • Supported HA/DR database solutions, SSIS/SSRS/SSAS processes & ETL/ELT pipelines & Big Data on the cloud;
  • Near - shore, off-shore support

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