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Ritik KaushikRK
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Ritik Kaushik

@ritikkaushik

Data Engineer with 5 years building large-scale Spark/Flink pipelines and Kafka ingestion for reliable, observable analytics.

India
Message

What I'm looking for

I’m looking to build and scale reliable, always-on data pipelines with strong data quality and observability. I want to own ingestion and ETL frameworks, partner closely with product and engineering teams, and deliver data products that improve decisions and revenue.

I am a data engineer with 5 years of experience building large-scale data lakes, Spark- and Flink-based pipelines, and Kafka-driven ingestion for financial and merchant intelligence use cases. I work daily with Python, Scala, Java, SQL, HDFS, Hive, S3, MongoDB, and Airflow, focusing on reliable ETL frameworks, data quality, and observability for always-on analytics.

At Uber, I built merchant growth intelligence capabilities and scaled Spark pipelines processing 160M+ daily metric evaluations, while designing batch processing for millions of refund and adjustment records. At Tekion, I progressed from Associate Software Engineer to Senior Software Engineer by building reusable ingestion/transformation/data quality frameworks and platform-wide monitoring and validation that improved reliability and early issue detection.

Experience

Work history, roles, and key accomplishments

Uber logoUB
Current

Software Engineer II, Data

May 2025 - Present (1 year 1 month)

Built a merchant growth intelligence platform for always-on monitoring, computing daily performance metrics across operational quality, advertising effectiveness, and promotional spend. Developed large-scale Spark pipelines processing 160M+ metric evaluations daily and maintained batch processing for 6M refund/adjustment records monthly, improving low-latency dataset delivery for downstream analyt

TC

Senior Software Engineer, Data Platform

Tekion Corporation

Nov 2021 - May 2025 (3 years 6 months)

Built and scaled Tekion’s centralized data platform to enable reliable, repeatable business data ingestion and processing across multiple domains. Developed reusable ingestion/transformation/data quality frameworks and platform-wide monitoring and observability to improve reliability and early detection of data issues, supporting analytics and data products for Data Science, Product, and Backend t

Education

Degrees, certifications, and relevant coursework

GM

GL Bajaj Institute of Technology and Management

Bachelor of Technology (B.Tech), Computer Science and Engineering

2017 - 2021

Earned a B.Tech in Computer Science and Engineering from GL Bajaj Institute of Technology and Management from Aug 2017 to Aug 2021.

Tech stack

Software and tools used professionally

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