Junaid Bilal

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