Rajnesh Kumar

-Developed Batch and Stream Data projects on Azure Cloud, Databricks, and PySpark for German clients like “Bundesministerium für Digitales und Verkehr” (Plasma project). -Built Stream data pipelines using Kafka, Microsoft Databricks, and Data Factory. -Worked on Medallion architecture for data integration and processing with Delta Lake. -Created Python modules for data pipelines. -Built web-based visualizations using Django and Plotly for stakeholders.

-Built ETL pipelines for AWS S3 data extraction using Apache Spark, PySpark, and Postgres-SQL. -Scheduled processes with Docker and Airflow. -Created automated KPI reports and dashboards in Looker and Redash. -Analyzed data, resulting in 120% sales growth and 200% revenue increase. -Tracked website clicks to support product improvements. -Used DBT and GitHub for data modeling and migrations.

-Migrating Data pipelines from My-SQL to Postgres-SQL. -Formulating management techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data. -Establish rules and procedures for data sharing with upper management, and external stakeholders. -Built ETL pipelines using Talend and Postgres-SQL. -Optimized data integration and data processing on My-SQL and Postgres-SQL using data engineering techniques. -Built Data visualization dashboards to see different data trends on Power BI.

Thesis: Data-Driven Decision Making for Bank Branch Expansion: An Integrated Geospatial and Clustering Analysis