Vaibhav Koneti — Data Engineer
I'm a data and technology professional with a background that spans data engineering, analytics, machine learning, and IT systems. Whether I'm building ETL pipelines, designing dashboards that actually get used, or digging into a dataset to answer a business question, I care about delivering work that's both technically sound and genuinely useful. My technical stack covers a broad range — Python, SQL, Spark, and Databricks for data engineering and processing; Power BI, Tableau, and Grafana for visualization and observability; PostgreSQL for database design and optimization; Prometheus for monitoring; and Azure for cloud infrastructure. I also bring hands-on experience in IT administration, which gives me a fuller picture of how data systems fit into the broader technical environment. Some highlights from my work so far: • Built SQL modules supporting a government program tracking 200,000+ families • Optimized dashboards and queries, reducing load times by 22% • Analyzed thousands of product reviews to surface insights that directly shaped roadmap decisions • Trained ML classification models achieving 92% prediction confidence in a research setting • Completed two Master's degrees in Big Data & Business Analytics (FOM University) and Data Analytics (BSBI Berlin) Between my two degrees I completed the Develeap Data Engineering bootcamp and focused on independent project work — that's where the hands-on pipeline experience behind my GitHub projects comes from. I'm drawn to problems where the data is messy, the requirements are ambiguous, or the existing system just isn't scaling well. That's where I do my best work — understanding the actual need, choosing the right approach, and building something that holds up. Currently based in Berlin and open to roles in data analysis, data engineering, analytics engineering, database administration, and software/IT roles across Germany. If you're working on interesting technical challenges, I'd be glad to connect.
Stackforce AI infers this person is a Data Engineer with a strong focus on analytics and machine learning in the technology sector.
Location: Berlin, Berlin, Germany
Experience: 3 yrs 7 mos
Skills
- Data Analysis
- Data Engineering
Career Highlights
- Built SQL modules for government tracking program.
- Optimized dashboards, reducing load times by 22%.
- Trained ML models achieving 92% prediction confidence.
Work Experience
Extern
Data Analytics Extern (5 mos)
Career Break
Professional development (1 yr 5 mos)
Amaravathi Software Innovations Pvt. Ltd.,
Software Developer (2 yrs 2 mos)
High Performance Reconfigurable Computing System Engineering Group
Machine Learning Intern (6 mos)
Education
Course Certificate at ReDI School of Digital Integration
Master's degree at BSBI School of Business and Innovation
Master's degree at FOM University of Applied Sciences for Economics and Management
BTech - Bachelor of Technology at Indian Institute of Information Technology Design & Manufacturing Kancheepuram
