Kartik Banga
Data Engineer @ TCS | AWS | CI/CD | Python | PySpark | Git | SQL | Software Developer | DSA Enthusiast
- Role
- System Engineer at Tata Consultancy Services
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Kartik Banga
I am a System Engineer at Tata Consultancy Services (TCS), specializing in Data Engineering and cloud-native data solutions on AWS. With over 2 years of experience, I design, optimize, and maintain scalable ETL pipelines that process terabytes of enterprise data with high reliability. My core expertise lies in Python, PySpark, and AWS services including Glue, Lambda, S3, Athena, and Kinesis. I focus on performance optimization and cost efficiency — tuning Glue jobs, implementing partitioning and batching strategies, designing multi-threaded data processing systems, and building automated recovery workflows to eliminate manual intervention and reduce production incidents. I have hands-on experience with real-time streaming architectures, large-scale batch processing, CI/CD for ETL workflows, and proactive monitoring using CloudWatch to ensure consistent pipeline stability. With 900+ coding problems solved across platforms, I bring strong problem-solving ability and algorithmic thinking to distributed systems and high-scale data challenges. Core Focus Areas: • Scalable ETL & Data Pipeline Architecture • Real-time Streaming & Batch Processing • PySpark & Distributed Data Processing • Performance & Cost Optimization • Monitoring, Reliability & AutomationI’m passionate about building reliable, efficient data infrastructure and continuously improving systems at scale. Feel free to reach out for collaboration or relevant opportunities at: k••••••••@gmail.com
Experience
System Engineer
Dec 2025 — Present · Gurugram, IN
Designed and scaled ETL pipelines using Python, PySpark, and AWS, processing terabytes of enterprise data with 99.9% reliability.• Optimized AWS Glue jobs using partitioning and batching strategies, improving performance by 40% and reducing infrastructure costs by 25%.• Engineered high-performance data processing solutions using chunking, batch processing, and multi-threading, ensuring smooth handling of large-scale and peak data loads.• Implemented real-time streaming architecture using AWS Kinesis and AWS Lambda, increasing throughput by 35% and enabling near real-time analytics.• Built automated ETL recovery workflows and leveraged CloudWatch monitoring + CI/CD pipelines, reducing incident resolution time and improving deployment reliability.
Education
Government Engineering College Nilokheri
Bachelor of Technology - BTech, Computer Science
2019 — 2023
Kurukshetra University
Bachelor of Technology - BTech, Computer Science
2019 — 2023
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