Jayaram Sankarasetty

Experience

• 

  Tata Consultancy Services

  Aug 2011 - May 2013

  Java Developer

  The CPOS (centralized point of sale) main aim to migrate all the data from the circles all over India into central database system/single system. Vodafone has divided all the states into 23 circles as their convenience. UPSS (unified prepaid support system) is the back-end part of the CPOS and is maintaining the data of subscribers. In this data migration team is working for migrate the data from circles to central data base. Responsibilities: Analyzing the Code Change Request and fix. Finding out the defects and providing the solutions for them. Determining the change/alter/new code that is required or what modifications to existing software are needed. Unit testing and rectifying the defects. Responsible for Weekly, Daily Status Reports. Show less

• 

  ITON Technologies Pvt. ltd.

  Oct 2013 - Sept 2014

  Java Developer

  This function covers the process by which a traveler arrives at the border of Oman seeking a visa on arrival. The traveler nominates the visa being applied for and pays for the visa (if required) either at the banking facility or at the DGPR counter.Responsibilities: To analyze various client requirement Coding and Unit Testing Unit testing and rectifying the defects. Responsible for Weekly, Daily Status Reports. Worked with Testing team for testing and resolve defects Working as a Sprint Basis. Show less

• 

  Logit One NV

  Jan 2015 - Jun 2016

  Senior Software Engineer

  Developed and deployed customer-facing web applications using Java and Vaadin, reducing user-reported defects by 15%.Collaborated with business stakeholders to gather requirements, resulting in the delivery of business-critical solutions ahead of schedule.Led bug fixes and testing efforts, enhancing code quality and minimizing production issues post-deployment.

• 

  UnitedHealth Group

  Jun 2016 - Jul 2019

  Having 6 years of experience in the field of Sr Data Engineering Analyst/ Spark developer

  Led ingestion efforts for 8+ data sources into centralized Hadoop-based data lakes, improving operational efficiency by 35%.Utilized Spark Streaming and Kafka for real-time data processing, storing streaming data in ElasticSearch, and visualizing results in Kibana for actionable insights.Designed Oozie workflows for scheduling batch jobs, improving job efficiency and system reliability.Collaborated with cross-functional teams in a 24/7 production environment, resolving high-priority issues, reducing downtime by 20%. Show less

• 

  HSBC

  Jul 2019 - Aug 2021

  Senior Data Ingestion Engineer

  Spearheaded automated ETL processes, leveraging Hadoop and Control-M, reducing manual data ingestion time by 40%.Migrated legacy data lake to Google Cloud, resulting in a 50% improvement in data processing speed and availability for analytics in BigQuery.Led Edge Node migration and Cluster Virtualization projects, significantly enhancing system performance and resilience.Implemented incident management processes, reducing response time by 30% and ensuring timely resolution of critical issues.Developed Shell Scripts to automate daily data activities, reducing manual intervention and errors in the ETL pipeline. Show less

• 

  Verizon

  Oct 2021 - now

  Senior GCP Data Engineer

  Architected and deployed scalable, real-time data pipelines using GCP’s Dataflow, Pub/Sub, and Dataproc, resulting in processing and analyzing terabytes of data with 99.9% uptime.Optimized BigQuery data warehouses and Cloud Storage data lakes, reducing costs by 15% while improving query performance by 30%.Led GCP migration POCs to validate cloud compatibility, ensuring seamless transition from on-premises infrastructure with minimal downtime.Developed infrastructure-as-code solutions with Terraform, automating provisioning for Compute Engine, Cloud Storage, and Kubernetes clusters.Managed Kubernetes clusters on GKE, improving resource utilization by 25% through effective configuration and deployment strategies.Migrated on-prem jobs to Google Cloud and automated workflows using Cloud Composer, enhancing productivity by reducing manual scheduling efforts.Collaborated in an Agile environment, consistently delivering ahead of sprint goals, increasing team velocity by 20%. Show less