Summary
Sahil Kakad is a data engineer with 4+ years of hands-on experience building scalable, secure data pipelines across automotive, manufacturing, cybersecurity, and finance. Currently pursuing an MS in Computer Science (Big Data Systems) at the University at Buffalo, he focuses on transforming messy logs and telemetry into ML-ready, compliant data platforms. His work has enabled real-time monitoring and threat protection for vehicles and factories while reducing vendor costs through automation. Sahil has moved between roles at Metron Security and Porsche Cars North America, combining practical production engineering with domain-aware data solutions. He blends infrastructure-first thinking with a knack for simplifying complex, regulated data flows—often tackling problems others call “too messy” to automate. Based in the Atlanta metro area, he’s motivated by building the backbone that lets analysts and data scientists deliver impact.
4 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science & Engineering (Big Data Systems), Master of Science - MS, Computer Science & Engineering (Big Data Systems) at University at Buffalo
Bachelor of Technology - BTech, Computer science & engineering, Bachelor of Technology - BTech, Computer science & engineering at Maharashtra Institute of Technology