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Siva Koritela
Senior Data Analyst @Fidelity Investments
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WORK HISTORY
Senior Data Analyst @Fidelity Investments
Houston, TX, US
Designed and implemented real-time data ingestion using Hadoop ecosystem tools like Hive, Pig, HBase, Sqoop, and Flume. Developed Hive UDFs, optimized Spark SQL queries, and built ETL pipelines with DataStage. Managed Hadoop clusters, performed unit testing with JUnit, and monitored logs using Log4j, ensuring efficient big data processing in an Agile environment
EDUCATION
Park University
Master's degree
Chalapathi Institute of Engineering & Technology, Lam
B-Tech
ABOUT SIVA KORITELA
About Me I am a Data Engineer with 6+ years of experience in designing, building, and optimizing scalable data pipelines, ETL workflows, and big data solutions. My expertise lies in transforming raw, complex data into structured, high-quality datasets that enable businesses to make data-driven decisions efficiently. I specialize in big data processing, data architecture design, and cloud-based solutions, ensuring that organizations can handle massive volumes of data with optimal speed, accuracy, and security. Whether it\'s real-time data streaming, batch processing, or data warehouse optimization, I thrive in solving complex data challenges.**Technical Data & ETL** – Extensive hands-on experience with **Apache Spark, Hadoop, Kafka**, and **real-time data streaming** solutions. Capable of designing high-performance **ETL workflows** that integrate and process data efficiently.**Databases & Data Warehousing** – Proficient in **SQL/NoSQL databases**(PostgreSQL, MySQL, MongoDB, Cassandra) and enterprise data warehouses like **Amazon Redshift, Google BigQuery, and Snowflake**.**Cloud Technologies** – Skilled in **AWS, GCP, and Azure**, utilizing services such as **S3, Lambda, Glue, Dataflow, Databricks, EMR, and Kubernetes** for data storage, processing, and automation.**Programming & Automation** – Strong programming expertise in **Python and Scala**, with a deep understanding of data processing libraries like **Pandas, PySpark, and SQLAlchemy**. Experienced in workflow automation tools such as **Apache Airflow and Prefect**.**CI/CD & DevOps** – Knowledgeable in **Docker, Kubernetes, Terraform**, and **CI/CD pipelines** to automate and streamline data infrastructure deployments.**Performance Optimization & Data Governance** – Skilled in optimizing **query performance, indexing, partitioning**, and implementing best practices for **data governance, security, and compliance (GDPR, HIPAA, etc.)**. Continuous Learning & Growth The field of data engineering is constantly evolving, and I stay up-to-date with the latest advancements in **big data technologies, cloud platforms, and automation tools**. Whether it\'s adopting **new data processing frameworks, exploring AI-driven analytics, or optimizing cloud-based data solutions**, I am always eager to learn and innovate. Let’s connect and discuss how data can drive business success!
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