Sham Gaikwad
Production Support Application Support Lead - Big Data and Datawarehouse @Morgan Stanley
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WORK HISTORY
Production Support Application Support Lead - Big Data and Datawarehouse @Morgan Stanley
Mumbai, IN
The aim of this project to building a data lake exploiting all WM data leveraging best of breed technologies and best practices and to extend Enterprise Data Lake (EDL) to encompass various Big Data technology platforms-Cloudera Hadoop Tools and HDFS Commands; Cloudera distribution of Hadoop on live projects -Snowflake Timetravel, SnowSQL, SnowPipe, Cloning, Database Schemas, Roles; worked on performance optimization and fine turning of queries on Snowflake -Building data ingestion and processing frameworks to integrate on premises Hadoop system and Snowflake (Cloud) issuing Pyspark -Implementation of HDFS / Hadoop Security Framework: Sentry – Kerberos and LDAP integration at firm-wide level -ETL mappings using Informatica Power Center to move Data from multiple sources like Mainframe files, Flat files, XML, Oracle, Teradata, UDB and SQL Server
EDUCATION
Savitribai Phule Pune University
Engineer's Degree, Electrical, Electronics and Communications Engineering
ABOUT SHAM GAIKWAD
I am an accomplished professional delivering nearly 15 years of career success in supporting strategic direction of large-scale multivendor programs. I have attained proficiency in Data Masking and Data Warehousing applications in Banking, Finance, Manufacturing, Logistics sector.My dexterity lies in BIDW Infrastructure Portfolio Management, Program Governance & E2E Delivery, Business Consulting, Transition Management, Project Lifecycle Management (SDLC, Agile & Waterfall), Business Case Definition, Proposal Management, and People Management. Demonstrated excellence in evolving the Advance Analytics & Strategic Data Analysis Plans, Technology Roadmap and Team Management for cutting edge technology competitiveness; expertise to set up and use, Big Data, Hadoop, Cloud Snowflake and Informatica tools. Having good knowledge of the Hadoop tools Hive, Spark, CDH, Impala, Informatica power center/power exchange/TDM/DVO,Automic/Autosys/TWS,unixOutstandingly enabled businesses to realize the true potential of Big Data by positively influencing the business decisions; acted as Big Data and Datawarehouse SME in a high-impact engagementSuccessfully led and implemented complex projects and Global teams—mitigated risks, managed requirements, and worked with project stakeholders while managing expectations at the department and project levelsExcellent at managing the overall project delivery operations with key focus on streamlining the Work Flows, Contractual and Non Contractual SLA’s & KPI’s for enhanced operational effectiveness in coordination with clients as per ITIL Processes and ISO/IEC guidelinesExperience in implementing and handling Big Data and Support Projects using Hadoop ecosystems
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