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Cloud Architect & Sr. Data Engineer (hadoop) Resume

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PROFILE:

  • Self - driven & highly motivated RDBMS expert and aspiring Big
  • Data professional, with overall 22+ years of experience spawning multiple areas of expertise including development, performance tuning, testing, administration, migration, consolidation and architecting effective solutions.
  • Expert converting traditional applications with rigid/fixed schema designs to evolving schema-less design and deploying it in cloud with infinite scalability at lower cost.
  • Hands-on working knowledge with Big Data frameworks
  • Hadoop ecosystem (1.x & 2.x)
  • Apache Spark (2.2.x)
  • Expert understanding of AWS suite of services and experience setting up Big Data Cloud infrastructure & migrating applications and database to AWS Cloud
  • Hands-on with Big Data tools

TECHNICAL SKILLS:

Oracle RDBMS: 7.x to 12c

Oracle Development: SQL, PL/SQL, Stored Procedures, Packages, Edition based Deployment, Apex, XMLDB, JSon Processing within DB, RAC-aware development & deployment, Self-documenting code with instrumentation for instant real-time tracing, Oracle Database Appliance (ODA)

Oracle HA Solutions: RAC, DataGuard, GoldenGate

Oracle Performance Tuning: OEM, Diag+Tuning pack, Statspack etc

Oracle Administration: DB Installation, upgrades & migrations, pro-active & real-time monitoring for issues.

Virtualization: Oracle VirtualBox, VMWare

PROFESSIONAL EXPERIENCE:

Confidential

Cloud Architect & Sr. Data Engineer (Hadoop)

Responsibilities:

  • Leading technical discussions with clients on gathering requirements & accessing transition efforts and benefits on moving into existing infrastructure into cost-effective distributed Big Data frameworks
  • Developing prototypes and PoCs & demonstrate clients to impart confidence on migrating their existing process over to Cloud and/or Big Data platforms.
  • Feasibility study on migration into AWS cloud & cost analysis.
  • Well versed in Hadoop, SPARK & AWS ecosystem and related tools, with specialized interest and demonstrated experience in processing huge volumes of data and solving complex analytical problems in Hive & Spark SQL
  • Experienced migrating projects from RDBMS to Hadoop & SPARK frameworks
  • Experience setting up multi-node cluster from scratch & ingesting data from multiple sources primarily using SQOOP
  • Experienced in evaluating health check of Hadoop cluster/stack and tune configurations of each component as needed & optimize it for reducing overlaps between resource consumers.
  • Certified AWS Solution Architect Associate

Confidential

Tools: Apache Hadoop 2.6, Apache Hive 1.2.0, Spark SQL 2.0

Sr. Data Engineer/Analyst

Responsibilities:

  • For most data processing and analytical needs across projects, our primary tools of choice were Hive & Spark SQL.
  • After the data gets stored in Data Lake, external tables were created from Hive & used for further deep dive analysis.
  • Depending on the requirement & resources available, we usually experiment storing data across different formats & most optimal gets used.
  • Effective Partitioning techniques (mostly dynamic partitioning with bucketing) were used for faster loading and quicker analysis of Big Data.
  • Data Analyzed was again persisted back in HDFS and shared with BI/Visualization team for presentation needs.

Confidential

Platforms: AWS, Private Cloud (running Hadoop)

Cloud Architect

Responsibilities:

  • For customers who are looking to migrate their Big Data projects into cloud, a "cloud fit" assessment study gets done, following up with a report delivered with options compared (listing tools and features) and costs involved.
  • Typically, cost of running enterprise databases in-house is compared and contrasted against equivalent AWS or open source solutions (Oracle to AWS Aurora/Mysql, Database to HBase/DynamoDB, Database storage to S3/HDFS etc).
  • AWS server types were considered analyzed in detail for different workloads.

Confidential

Sr. Oracle Consultant

Responsibilities:

  • Also, patching, upgrading, installing new RAC were accepted and performed as part of regular work-routines.
  • Technical work covered but not limited to these tasks - Designing DB, Reviewing Application Architecture, DBA tasks, Performance Tuning Root cause analysis and follow-up Fixes, Database Installs, upgrades & migrations, Schema Modeling ( Physical & Logical) Dimensional Model, SQL & Instance Tuning, Storage & OS Metrics collecting and reviewing, Training DB/DBA team at customer sites.

Confidential

Lead Oracle DBA-Developer

Responsibilities:

  • Responsible for maintaining database health for all Production databases across entire enterprise and performing upgrades & patching routines.
  • In addition, catering to development teams like participation in application review session, addressing performance issues & providing clone databases whenever needed were performed. When needed, was also involved in code review to fix issues ( mostly SQL in Java and crystal reports & PLSQL in PLM modules).

Confidential

Technical Consultant

Responsibilities:

  • Responsibilities included Performance benchmarking during development phase & pro-active monitoring during after "live" phase for a very highly visible & mission critical application, Application tuning, Performing Database health checks,
  • Replication monitoring participating and raising key questions benefitting the client during Vendor discussions dealing with infrastructure and technology stack changes and proposals, Reviewing Code, Architecting and designing & running Proof-of-concept runs for proposed changes.
  • Expert knowledge in deep core concepts of Oracle RDBMS and was able to solve variety of problems
  • Maintained an AWR repository single handedly for many years & was instantly able to spot changes and reasons behind (Schema changes Vs code changes Vs Infrastructure Changes).
  • Had a good handle on licensing cost and was able to workaround extra-licensing cost options (within Oracle DB) whenever possible.
  • Key contributor and educator on solving data problems within database itself without having pull out data using 3 rd party tools. (Data Analysis & Reporting)
  • Was able to communicate & prioritize and get work done across multiple different organizational departments including Business Users, DBA group, Application Dev group, Infrastructure Group)
  • Was an active and Key contributing member of Oracle ACS team

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