Kunal Bhatia — Data Engineer
I’m a results-driven Data Engineer specializing in building and maintaining scalable, high-performance data pipelines, ETL workflows, and modern data platforms. With expertise in Python, SQL, data modeling, and transformation, I design systems that turn raw data into actionable insights. I bring hands-on experience in: Workflow Orchestration: Automating complex data pipelines with Apache Airflow Cloud & Containerization: Deploying reliable, cloud-native solutions using Docker, Kubernetes, and Microsoft Azure CI/CD: Streamlining development lifecycles with automated pipelines for consistency and speed Data Solutions in Fintech & Insurance: Delivering regulatory-compliant, secure, and performance-optimized systems for high-stakes environments Beyond engineering, I have exposure to machine learning algorithms and understand how data infrastructure supports advanced analytics and predictive modeling. What drives me: Writing clean, maintainable code and building data infrastructure that not only powers real-time insights but also scales for the future. If you’re looking for someone who can bridge deep technical skills with business impact, let’s connect.
Stackforce AI infers this person is a Data Engineer specializing in Fintech and cloud-based data solutions.
Location: Prague, Czech Republic
Experience: 4 yrs 9 mos
Career Highlights
- Expert in building scalable data pipelines and ETL workflows.
- Proficient in cloud-native solutions with Docker and Kubernetes.
- Strong background in data solutions for fintech and insurance.
Work Experience
Galytix
Data Engineer (1 yr 4 mos)
Junior Data Engineer (1 yr 5 mos)
Data Analyst (2 yrs)
Education
PGP at Great Lakes Institute of Management
Bachelor of Technology - BTech at Maharaja Agrasen Institute Of Technology, Delhi