Abhishek Kumar

Contributed to the Data Mesh implementation at Adidas as a member of the BI and Data Analyst journey team. Migrated BI applications from a costly legacy to modern architecture reducing BI costs from €300/user/month to €20/user/month. Developed Change Data Capture (CDC) architecture with Debezium 2.7 on Kafka-connect clusters. Developed multiple notebooks with PySpark, Pandas, Seaborn, Matplotlib,and Plotly visualization libraries. Created multiple workflows using REST, SOAP, ODBC, and OAuth2.0.

•Created a real-time vehicle tracking application for route planning, passenger, and fleet management for the Nuremberg Public transport association (VGN). •Designed real-time streaming solutions to receive data from 10000+ devices from 2000+ locations. •Used Multiple technologies: docker, Kubernetes, python, mongo, Postgres, MySQL, and Databricks to create streaming and batch data pipelines. •Helped data scientists, product owners, and backend/frontend engineers with the fast delivery of the data product.

I create data pipeline to move data from diverse sources. I utilize cloud platform ( aws-s3, Azure- data store, google- big table) to store huge volume of data from web logs, database entities, IOT devices, sensor output. I use mix of languages ( java, python, node is) to achieve given scenario. I also use devops tools like Jenkins, bit-bucket, ansible, docker, kubernetes for automation. I create utilities to process and store data in relational database or no-sql database.