Junaid Bilal

**AI Data Engineer | Open Source Project, Berlin, Germany** Built GenAI applications including RAG systems, AI agents, and Databricks-based Agentic AI workflows. Developed document Q&A solutions using Python, LangChain, LangGraph, OpenAI/Gemini APIs, vector databases, embeddings, and semantic search. Implemented chunking, ReAct agents, tool calling, prompt chaining, and Pydantic outputs. Deployed Dockerized applications with Databricks, Delta Tables, Vector Search, and MLflow tracing.

Cedar Financial – US-based financial services platform enabling scalable global payment solutions for enterprises like Allianz and Deel. As a Data Engineer, I designed and optimized ETL pipelines, automated PDF and API data workflows, enhanced SQL queries and dashboards, and built reporting pipelines that reduced manual effort by 95% and turnaround time from days to hours. Left for relocation to Germany.

Algo – US-based company enabling smarter demand planning for modern supply chains. As Data Engineer, I designed and deployed scalable Azure data pipelines (Synapse, Databricks, ADF, Power BI), improving reliability to 99.7% and reducing manual intervention by 40%. Built POCs, supported Walmart & JB Hi-Fi projects, optimized CI/CD pipelines, and collaborated with teams to deliver actionable insights and data-driven solutions.

Kavtech Solutions – US-based real estate analytics platform supporting 200+ agencies. As Software Engineer (ETL), I designed, optimized, and maintained automated data pipelines using Pentaho, PostgreSQL, Postman, and RETS Connector, improving data throughput by 30%. Coordinated API integrations, ensured data accuracy across environments, and delivered actionable insights for real estate clients through the Ylopo Data Integration Project.

As a Consultant Data Engineer, I contributed to 20+ projects, specializing in data preprocessing, cleaning, analysis, and visualization for machine learning. Built ETL pipelines in Python and Azure, improving data accuracy and reducing manual effort by 30%. Developed predictive models, visualized insights with Matplotlib/Seaborn, and delivered actionable solutions across projects, including web scraping, RFM analysis, and survey data analysis. GitHub: github.com/junaidbilal5