Sai Cheruku
@saicheruku
Highly motivated Data Engineer with expertise in ETL and Big Data.
What I'm looking for
I am a highly motivated and results-oriented Data Engineer with a Master's in Information Technology. My expertise lies in designing, building, and optimizing scalable ETL pipelines. I have a strong foundation in Python, SQL, and cloud platforms like AWS, complemented by hands-on experience in Big Data technologies such as Hadoop, Spark, and Kafka.
Throughout my career, I have proven my ability to enhance data quality, automate workflows, and deliver actionable insights that drive operational efficiency and business intelligence. At Rubistone Technologies, I designed and implemented scalable ETL pipelines and developed automated data ingestion workflows that significantly improved pipeline reliability. My collaborative approach has enabled me to work effectively with cross-functional teams to create self-service dashboards that empower business users.
Experience
Work history, roles, and key accomplishments
Data Engineer
Rubistone Technologies
Jun 2023 - Present (2 years 2 months)
Designed and implemented scalable ETL pipelines using Python and SQL to process structured and semi-structured data from diverse sources. Developed and scheduled automated data ingestion workflows using Apache Airflow, improving pipeline reliability and reducing manual intervention.
Data Engineer
Quadrant Resource
Oct 2020 - Nov 2021 (1 year 1 month)
Developed and maintained Python-based ETL pipelines to ingest, clean, and transform large datasets from disparate sources including APIs, flat files, and databases. Engineered workflows to support enterprise data integration for finance and operations teams, enabling timely and accurate reporting.
Education
Degrees, certifications, and relevant coursework
Clark University
Master's in Information Technology, Information Technology
2021 - 2023
Grade: 3.5 / 4.00
Completed a Master's degree in Information Technology, focusing on advanced concepts and applications in the field. Achieved a GPA of 3.5 out of 4.00.
Availability
Location
Authorized to work in
Job categories
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