Sivannarayana Parimi

WORK HISTORY

EDUCATION

ABOUT SIVANNARAYANA PARIMI

Data Engineer with 4+ years of experience building and operating scalable, production-grade data pipelines that transform high-volume, complex data into reliable, analytics-ready datasets.• Strong expertise in designing end-to-end ETL/ELT workflows using Python, PySpark, and Apache Spark, with a focus on performance tuning, data quality, and fault-tolerant architectures.• Hands-on experience with AWS-based data ecosystems, leveraging Glue, EMR, Athena, S3, Redshift, Lambda, and Step Functions to build distributed and serverless data processing solutions that scale efficiently.• Proven ability to orchestrate and automate complex workflows using Apache Airflow and Control-M, ensuring SLA-driven execution, dependency management, and operational reliability across data platforms.• Experience in monitoring, logging, and observability using Splunk and Amazon CloudWatch, enabling proactive issue detection, faster incident resolution, and stable production systems.• Strong background in working with relational databases such as MySQL, including schema design, query optimization, and supporting analytics and reporting workloads.• Comfortable operating in Linux environments, handling deployments, troubleshooting production issues, and improving system performance through scripting and automation.• Certified AWS Cloud Practitioner and AWS Solutions Architect – Associate, with a solid understanding of cloud architecture best practices, security, scalability, and cost optimization.• Actively leveraging AI-powered development tools such as Claude and GitHub Copilot to accelerate coding, improve solution design, optimize queries, and enhance productivity while maintaining production-grade engineering standards.• Actively exploring modern data engineering frameworks, lakehouse architectures, event-driven pipelines, and AI-integrated workflows, with a strong interest in building resilient, future-ready data platforms that drive business impact.