Tanuj Rohilla is a Module Lead Software Engineer with 8 years of experience specializing in big data, cloud-native architectures, and analytics-driven solutions. He has a strong track record of modernizing ETL platforms—migrating complex workloads to Databricks and Delta Lake to cut runtimes and improve scalability—while automating historical ingestion with Airflow to eliminate repetitive manual work. Skilled in PySpark, Python, SQL, Kafka and AWS services, he builds low-latency real-time pipelines and high-throughput batch systems that power operational dashboards and analytic platforms. Tanuj pairs hands-on engineering with leadership, having advanced from associate roles to leading modules at Impetus and mentoring cross-functional teams. His background includes a MSc in Computer Science from Delhi University and early open-source practice solving algorithmic problems in C++ and Python, reflecting both theoretical grounding and practical problem-solving. Colleagues describe him as performance-focused and pragmatic—optimizing distributed systems to deliver measurable business impact.
Contributions summary:Tanuj primarily contributed to the repository by implementing and updating code for basic programming exercises in C++ and Python. They developed and modified solutions for common algorithms like factorial, Fibonacci sequence, and reversing integers. Their contributions involved writing and optimizing code for palindrome detection, indicating a focus on solving foundational programming problems within the project.
Contributions:9 PRs, 18 pushes, 1 branch in 2 years
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Tanuj Rohilla - Module Lead Software Engineer at Impetus