Data informs, creativity inspires
Cloud Data Engineer and Developer, curious to solve complex problems
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I work at the intersection of data and software, using data to help businesses make informed, impactful decisions. However I didn’t start out just “working with data", rather with electrical systems, where problem-solving, heavy mathematics, and programming were part of everyday life. That foundation naturally led me toward data and software, where the same logical thinking, with the added ability to turn complex systems into insights that guide real decisions applies.
Over time, I’ve worked across the full data stack, from designing data pipelines and transforming data, to building dashboards and deploying machine learning models. Alongside this, I have experience in full-stack software development, which allows me to build complete solutions rather than isolated components.
Clear communication is a big part of how I work. I focus on listening closely to stakeholders, understanding what they actually need, and translating those needs into technical solutions that deliver real value: Bridging the gap between complex technical work and real-world impact is something I enjoy.
Outside of work, I enjoy playing my guitar often in a band setting. Music is my creative outlet, and it helps me think outside the box and bring that creativity into my work; hence the phrase "Data informs, creativity inspires".
Skills





















Data Engineering and Analytics
- Creating scalable data pipelines
- Data warehousing and Dashboards
- Machine learning and MLOps
Cloud & Fullstack for Data Ops
- Developing APIs for data services
- Infrastructure as Code(IaC) using Terraform
- Developing and deploying crawlers & Spiders
- Data-Serving backend systems
Projects

Car Price Estimator
Created a machine learning model to predict car prices in Germany, packaged it in a Docker container and deployed it on the AWS platform.
- React
- AWS Gateway
- AWS Lambda
- AWS ECR
- Docker

E-charging Infrastructure Pipeline
Built an end-to-end data pipeline to fetch E-charging Infrastructure data from source, perform cleaning and transformation for analytical purposes.
- dbt
- Bigquery
- Looker Studio
- GCS
- Prefect
- Docker
- Terraform

Reddit Data Pipeline
Built a data pipeline to fetch, store, process, and visualize Reddit data, automating schema discovery and enabling efficient querying and analysis.
- Glue
- Quicksight
- Docker
- Terraform
- Athena
- Redshift
- S3

IOT Data Streaming Pipeline
This is a simulation of a real-time IoT data, where a vehicle journey is tracked in real-time, and data is streamed to a central system for analytical use.
- Kafka
- Spark
- dlt
- Snowflake
- Streamlit
- Docker

New York Taxi Data Pipeline
An analysis of New York Taxi data, where I fetched, transformed, and loaded it to BigQuery and built a Looker dashboard on top of it.
- dbt
- Bigquery
- Looker Studio
- GCS
- Prefect
- Docker

Finance Dashboard
Built a full-stack finance dashboard with React, Node.js, and MongoDB to track and visualize financial performance and interactive charts.
- React
- Mongo DB
- Node JS
- Redux
- RTK







