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London, United Kingdom

Hi, I'm Vikramaditya.

Lead Data Engineer,
Building Pipelines that Scale.

I transform massive, raw datasets into high-performance analytical engines. Expert in cloud-native architectures, real-time streaming, and BI-as-Code.

Vikramaditya Tatke - Lead Data Engineer
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Skills & Tools

Drag to explore. A comprehensive stack across data engineering, cloud infrastructure, and analytics.

PythonApache AirflowdbtApache SparkApache KafkaApache ParquetAWSDockerLinuxClickHousePostgreSQLMongoDBTypeScriptReactNext.jsDatadogGitGitHubPolarsDuckDB
Certifications Section

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Data Pipeline Stages

Follow the data as it flows from raw sources to transformed output. Click the 'Load' stage to query it!

Stage 1: Source

Raw Data Ingestion

Data Loaded

Stage 2: Transform

SQL

Processing Data
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💾 Idle (0%)

Data loads silently so analytics are instant when you need them

Featured Projects

Explore my data engineering portfolio

F1 ETL and Analysis

End-to-end ETL pipeline for Formula 1 race data with comprehensive analytics and visualizations. Built with modern data engineering practices.

PythonPandasAWSSQL
View on GitHub

Streamlit Admin Panel

Interactive admin dashboard built with Streamlit for data management and visualization. Features real-time updates and user authentication.

StreamlitPythonPostgreSQL
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Polars GPU Test

Performance benchmarking and testing suite for Polars GPU capabilities. Demonstrates GPU-accelerated data processing for large datasets.

PolarsCUDAPythonGPU
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MWAA Kafka Project

Managed Apache Airflow with Kafka integration for real-time data streaming. Orchestrates complex data workflows in the cloud.

AirflowKafkaAWS MWAAPython
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TCP Flink Kafka Connector

Custom TCP connector for Apache Flink and Kafka integration. Enables real-time data ingestion from TCP sources into Kafka streams.

Apache FlinkKafkaJavaTCP
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Coming Soon

Exciting new project in development. Stay tuned for updates on innovative data engineering solutions.

TBD

Get in Touch

Have a project in mind or want to discuss data engineering? Drop me a message.