01
Ingestion & orchestration
Batch jobs, event streams, vendor APIs, and object storage.
- Python
- Apache Airflow
- Apache Kafka
- AWS Lambda
- AWS Glue
- Amazon S3
- REST APIs
London, United Kingdom
Hi, I'm Vikramaditya.
Data Engineer,
Building Pipelines that Scale.
I build dependable data pipelines and analytics systems that turn complex data into clear, useful insights. I care about practical architecture, reliable delivery, and tools that help people make better decisions.
Technical skills
A practical data engineering stack.
Technologies I use to build and operate data platforms, grouped by where they fit in the system.
- 02
Transformation & compute
Data models, validation, distributed processing, and files.
- SQL
- dbt
- Apache Spark
- Polars
- Apache Parquet
- 03
Databases & query engines
Columnar analytics, relational workloads, and document data.
- ClickHouse
- PostgreSQL
- MongoDB
- DuckDB
- 04
Analytics & applications
Dashboards, internal tools, and browser-native analytics.
- Power BI
- Tableau
- Streamlit
- TypeScript
- React
- Next.js
- ECharts
Platform & reliability
The layer underneath every workload.
- AWS
- Docker
- Linux
- GitHub Actions
- Datadog
- CI/CD
- TDD
Certifications
Professional certifications validating expertise in data engineering and analytics technologies
Verified2026-02-07
AWS Certified Data Engineer - Associate
Amazon Web Services
Validates proficiency in designing and implementing data pipelines on AWS using services like Glue, Redshift, EMR, and Lambda.
Verified2025
ClickHouse Certified Developer
ClickHouse Inc.
Demonstrates proficiency in ClickHouse database development and optimization.
Verified2024
MongoDB Associate Developer
MongoDB University
Validates foundational knowledge of MongoDB database development.
Verified2020
Tableau Desktop Specialist
Tableau (Salesforce)
Certifies expertise in creating interactive data visualizations with Tableau.
All certifications are verifiable through their respective issuing organizations
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
Stage 2: Transform
SQL
Preparing data
💾 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
Streamlit Admin Panel
Interactive admin dashboard built with Streamlit for data management and visualization. Features real-time updates and user authentication.
StreamlitPythonPostgreSQL
Polars GPU Test
Performance benchmarking and testing suite for Polars GPU capabilities. Demonstrates GPU-accelerated data processing for large datasets.
PolarsCUDAPythonGPU
MWAA Kafka Project
Managed Apache Airflow with Kafka integration for real-time data streaming. Orchestrates complex data workflows in the cloud.
AirflowKafkaAWS MWAAPython
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
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.