Sai Srikar Kolanupaka
Senior Data Engineer (Contractual) @Apple
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WORK HISTORY
Senior Data Engineer (Contractual) @Apple
Hyderabad, IN
Designing high-performance data engineering solutions using Apache Spark, Scala, and AWSKey Contributions- Architected Spark-based data frameworks on AWS EMR processing 100-120 GB production datasets daily- Reduced pipeline runtime by 10+ hours through partition strategies, broadcast joins, and execution tuning- Integrated Kafka streaming data with Spark batch pipelines for real-time validation and downstream processing- Built container-ready internal APIs (Docker) for performance tracking, integrated with Tableau dashboards- Led code reviews and mentored junior engineers on Spark optimization and software engineering best practices- Supported production pipelines: monitored jobs, troubleshot failures, resolved data quality issuesTech Stack: Apache Spark, Scala, AWS (EMR, S3), Kafka, Docker, Airflow, HDFS, MySQL, DynamoDB
EDUCATION
CVR College of Engineering, Hyderabad
Bachelor of Technology - BTech, Computer Science
ABOUT SAI SRIKAR KOLANUPAKA
Senior Data Engineer with 5+ years of experience building high-performance, scalable data platforms at Apple and Accenture. I specialize in Apache Spark, Scala, Kafka, and AWS-based distributed systems, processing 100-120 GB datasets in production environments. WHAT I DO- Design and optimize Apache Spark applications (batch processing, performance tuning, partition strategies)- Build production-grade ETL pipelines using Scala, Kafka, and AWS EMR- Architect data engineering frameworks for large-scale transformations (HDFS, S3 data lakes)- Reduce processing times through broadcast joins, execution tuning, and code optimization- Develop container-ready services and APIs for operational reporting CURRENT ROLE (Apple)- Processing 100-120GB datasets daily using Spark on AWS EMR- Reduced end-to-end pipeline runtime by 10+ hours through performance optimization- Integrated Kafka streams with Spark batch pipelines for real-time data validation- Built internal APIs (Docker-ready) integrated with Tableau dashboards- Mentor engineers and lead knowledge-sharing initiatives TECHNICAL EXPERTISE:Languages: Scala, Java, SQL, PythonBig Data: Apache Spark (Batch & Streaming), Kafka, Airflow, HDFSCloud: AWS (EMR, S3, DynamoDB), DockerDatabases: MySQL, Aurora MySQL, DynamoDB, CassandraPractices: Performance Tuning, Distributed Systems, Code Reviews, Production Support IMPACT: Optimized Spark jobs reducing runtime by 10+ hours Built ETL frameworks processing vendor data across 6 countries Improved batch workflow efficiency by 40% during legacy migration Served 1M+ users through scalable backend services EDUCATION:B.Tech in Computer Science & Engineering (GPA: 9.63/10) Currently exploring: Advanced Spark optimizations, real-time streaming architectures, and cloud-native data platforms.Open to discussing data engineering challenges, Spark optimization techniques, or opportunities in distributed systems.Let\'s connect! s••••••••@gmail.com
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