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@saisindhusubbisetty
Big Data Developer skilled in building scalable ETL pipelines.
I am a Big Data Developer with strong hands-on experience in designing, building, and automating scalable ETL pipelines using Apache Spark (PySpark), Hive, Hadoop, Sqoop, and Apache Airflow. My expertise lies in implementing cloud-native big data solutions using AWS services such as EMR, S3, Redshift, Athena, RDS, Lambda, and Step Functions to orchestrate reliable, high-volume data workflows.
Throughout my career, I have successfully built fault-tolerant and cost-efficient data lake architectures, reducing storage and compute costs by tuning Spark and leveraging AWS spot instances. I have a proven track record of delivering automated and event-driven pipelines using Airflow, integrated with alerting and monitoring tools like Slack and CloudWatch. My strong problem-solving skills and proactive approach to debugging ensure pipeline reliability and data integrity.
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Work history, roles, and key accomplishments
Swiggy Limited
May 2024 - Present (1 year 6 months)
Built and optimized end-to-end big data pipelines to process logistics and shipment data at scale. Delivered cost-efficient data lake and real-time analytics solutions using PySpark, Hive, and AWS services.
Degrees, certifications, and relevant coursework
B.Tech, Technology
Grade: 89.01%
Completed a Bachelor of Technology degree, focusing on core engineering principles and applications. Achieved a strong academic performance with an 89.01% grade.
Intermediate, General Studies
Grade: 97.1%
Completed intermediate studies with a focus on foundational subjects. Achieved a high academic standing with a 97.1% grade.
SSC, General Studies
Grade: 10 CGPA
Completed Secondary School Certificate (SSC) education. Achieved an excellent academic record with a 10 CGPA.
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