Jinesh Ranawat

About Jinesh Ranawat

Build data and technology solutions that deliver real and sustained value across any sector,with expertise across Java/ J2EE and Azure across Banking and Financial Services Analytics, Investment Banking, Risk Engine Telecom, Oil and Gas domains Ability to provide data engineering subject matter expertise and hands-on data- capture, ingestion, curation and pipeline development expertise on Azure to deliver cloud optimized data solutions Hands-on experience in leading data/data-pipeline architectural discussions to help build cloud native solutions or migrate existing data applications from on premise to Azure platform as well as performing current state “AS-IS” and future state “To-Be” analysis Expertise in developing and leveraging AWS tools and services to manage and automate key operations capabilities including AWS Systems Manager, Patch Manager, Cloud Formation, and custom scripting to extend the AWS services Aptitude to lead AWS cloud architecture, roadmap, cloud strategy, Enterprise/solution architecture and implementation in a DevOps environment Big-data Engineering experience setting up data lakes (Hadoop, Hive, HDFS, Spark, API\'s, etc.) Experience in cloud infrastructure project deals for hands on migration to public clouds such as AWS and Azure Strong acumen in Docker container-based infrastructure technologies and tools such as service discovery, service meshes and schedulers Skilled in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and \'Big data\' technologies

Experience

1. Staff Ai Data Engineer

   bp

   Nov 2024 — Present · Pune, IN

   Building multi modal conversational AI agents- Managing highly scalable, multi-tenant and cost efficient platforms as a service on AWS/Azure.* Data Engineering Platform * Data Streaming Platform * Data Virtualisation Platform * Data Caching Platform * Data Integration Platform * Cloud Observability Platform- Accelerating adoption of AWS EMR,Iceberg, Glue, Azure Databricks, Serverless and Generative AI- Optimise TCO for Cloud environments.*$2M cloud savings in 2024- Building a strong Data Engineering developer community.

Education

• Greyatom school of DataScience

  MSc - Master of Science, Data science

  2018 — 2019

• Sinhgad College Pune University

  Bachelor of Engineering (BE), Information Technology

  2008 — 2008

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech, Software system data analytics

• Muktangan

  SSC, Junior High/Intermediate/Middle School Education and Teaching

  2005 — 2005