Prince Pastakiya

I’m a Data Engineer with 4+ years of experience building and maintaining scalable, reliable data pipelines and analytics platforms across financial, telecom, and healthcare domains. My work focuses on turning complex, high-volume datasets into actionable insights that help teams make informed decisions.

My journey into data started with a computer science foundation and a curiosity for how systems work together at scale. Over the years, I’ve specialized in designing end-to-end ETL pipelines, optimizing workflows, and creating analytics-ready datasets using Databricks, PySpark, SQL, Python, AWS, Azure, and Power BI. I enjoy bridging engineering and analytics—where clean data architecture drives real business impact.

How I Work

I believe in building data solutions that are not only scalable but maintainable and reliable. I prioritize data quality, performance, and governance, and I document processes so teams can move faster with confidence. Having collaborated with product, finance, risk, and marketing teams, I translate business requirements into production-ready data solutions that scale.

What I Do

I design and optimize batch and analytical data pipelines, develop enterprise BI dashboards, and support analytics use cases such as customer segmentation, churn analysis, and performance monitoring. I’ve led initiatives that improved processing efficiency, strengthened data reliability, and enabled leadership teams to make faster, data-driven decisions.

Beyond Work

Outside of engineering, I enjoy exploring new data technologies, refining system designs, and mentoring junior analysts and engineers. I’m passionate about improving how data teams collaborate, build, and deliver value, and I’m excited by opportunities at the intersection of cloud platforms, data, and business strategy.