I'm
Ganpat Patel,
Data Engineer.
Designing scalable data systems that transform raw data into meaningful decisions. Based in Paris 🇫🇷
01 — About
Building the backbone
of data-driven decisions.
I am Ganpat Patel, a Data Engineer based in Paris. I design and build robust, scalable data platforms — from real-time ingestion across diverse sources to orchestrated workflows using Airflow, distributed processing with PySpark and Databricks and modern cloud platforms across GCP, Azure and AWS.
Recently at Deezer, I built a CI/CD migration framework, transitioning pipelines from Jenkins to GitHub Actions, while auditing and redesigning existing workflows. In parallel, I worked on a GCP-based monitoring solution to improve FinOps visibility and cloud cost tracking. Prior to that at Mu Sigma, I led a team managing a large suite of ADF pipelines and production data assets, spearheaded a data integrity initiative recalibrating hundreds of Hive tables to resolve historical data corruption, and developed a Neo4j graph analytics MVP to identify disease trends in pet healthcare.
Spoken Languages
Beyond the Data — Interests & Passions
02 — Skills
My Skills
Technical Stack
Soft Skills
03 — Certifications
Verified Credentials
Click any card to verify on the issuer's official site.
04 — Experience
Where I've Worked
Focused on customer segmentation using K Means clustering to analyze customer behavior and build practical business-facing ML solutions. The internship provided hands-on experience in data analysis, pattern discovery, and real-world machine learning application.
Completed a 9-week program with 7 weeks of training and 2 weeks of project work, delivering 2 mini-projects and 1 major project. The experience strengthened practical problem-solving, teamwork, and deadline-driven delivery in data science.
Completed a 2-month machine learning internship supported by the Microsoft Technology Associate program, working on predictive models, NLP use cases, and deep learning tasks. The experience built a strong foundation in preprocessing, model selection, and evaluation.
Completed an MSc in Computer Science with a specialization in Data Science and Analytics. The program built depth across data analysis, machine learning, deep learning, and big data systems through hands-on projects focused on large-scale datasets, predictive models, and production-ready data solutions.
Completed an MBA in Business Analytics with structured training in business strategy and data-driven decision making. Built a strong foundation in analytics, big data, digital and web analytics, predictive modeling, and data visualization through industry-oriented case studies and practical projects.
Completed a BE in Computer Science and Engineering with a strong foundation in algorithms, data structures, programming, software engineering, and database management. Projects and coursework strengthened problem-solving skills and prepared me for real-world software and data challenges.
05 — Projects
What I've Built
Let’s connect to
build something meaningful.
Open to full-time Data Engineering opportunities across Europe. Based in Paris, with flexibility for remote work and relocation.
ganpat.patel.012@gmail.com© 2026 Ganpat Patel



