Ramesh Pallothu

Ramesh Pallothu

Module Lead

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location of Ramesh PallothuBellevue, Washington, United States

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  • Timeline

  • About me

    Data Architect | Data Product Manager | Snowflake | Databricks | Data Analytics | Data Engineer | AWS | Azure | Technology Enthusiast

  • Education

    • Loyola

      -
      Bachelor's degree Computers and Mathematics
    • JRNR University

      2005 - 2007
      Master of Science (M.Sc.) Information Technology
    • Osmania University

      1996 - 2001
      Bachelor's degree Mathematics and Computer Science

      Activities and Societies: Cricket

  • Experience

    • LiquidHub

      Nov 2006 - Feb 2010
      Module Lead
    • Capgemini

      Mar 2010 - Jul 2011
      Senior Consultant

      Technical Lead, Solution design and execution

    • WinWire Technologies Inc.

      Jul 2011 - May 2012
      Senior Technical Lead
    • CGI

      May 2012 - Jun 2014
      Lead Analyst

      Enterprise Content Management solutioning, Project execution, Pre-sales

    • Cognizant

      May 2014 - Dec 2016
      Technical Architect
    • Tavant

      Dec 2016 - Dec 2019
      Associate Data Architect

      Led data & data pipeline migration strategy to increase the data load efficiency and reduce the infra cost.● Rebuilt 15 legacy ETL data pipelines using cloud native solutions, reducing pipeline execution time by 50% and saved $1 million on infrastructure costs.● Managed requirements and led the implementation.● Automated E2E pipelines and reduced operational cost 70%.● Defined the data quality metrics and KPIs.● Implemented Agile/Scrum Methodology and development.

    • Clarivate

      Jun 2020 - Mar 2022
      Data Architect

      Built a super complex data pipeline to transform data from multiple data sources, built a framework to handle structured and semi structured data.● Design scalable distributed data solutions using Spark Framework.● Automated E2E data pipelines using AWS Data services like S3, Lambda, Step Functions, Athena, EMR and SQS.● Redefined S3, Glacier data retention policies to save storage cost.● EMR cluster management with spot vs reserve vs on-demand instances to save compute cost.● Data pipelines integration with ML models.● Designed framework to unify data formats from multiple sources systems. ● Built data quality control framework.● Design data ingestion framework to consume data from various sources. Show less

    • T-Mobile

      Mar 2022 - now
      Data Architect

      Built an in-house ETL platform which processes 6 TB of incremental data daily and reduce development and maintenance costs by 50%.● Designed data flows to migration data from Salesforce to Snowflake (full and incremental)● Built data reconciliation pipelines to synchronize data between partner systems and T-Mobile.● Developed business critical ETL pipelines with complex transformations. ● Initiated low code/No code features to reduce development cost by 50%.● Lead product squad engineers, designers, security, SRE and coordinated with stakeholders across the regional ecosystem.● Ops advisory to provide automated solutions. Show less

  • Licenses & Certifications