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BALU GORLE

@balugorle

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Experienced Sr. Data Engineer specializing in ETL and data warehousing.

United States

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What I'm looking for

I am seeking a challenging role in a collaborative environment where I can leverage my data engineering skills to drive impactful projects and contribute to innovative solutions.

I am a Sr. Data Engineer with over 4 years of experience in the finance and healthcare sectors. My expertise lies in developing ETL/ELT pipelines, data acquisition, and data warehousing solutions. I have a strong background in utilizing cloud services such as AWS and Azure to create robust data processing applications. My work has focused on leveraging technologies like Spark, Databricks, and various NoSQL databases to ensure efficient data handling and compliance with industry standards.

Throughout my career, I have successfully designed and deployed data pipelines that enhance data accessibility and usability for business intelligence. I have collaborated with cross-functional teams to gather requirements and deliver solutions that meet organizational needs. My commitment to continuous learning and adapting to new technologies has allowed me to contribute to machine learning initiatives and improve data processing performance.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Conifer Health Solutions

Jul 2024 - Present (1 year)

Collaborated with Business Analysts and SMEs to gather business requirements, applying problem-solving and decision-making to prioritize tasks. Developed and deployed Spark applications using Scala, PySpark, Spark Core, Spark SQL, and Spark Streaming within AWS EMR clusters, integrating Databricks Delta Lake for ACID compliance and data reliability.

Databricks Pyspark AWS Glue Snowflake DBT Jenkins Kubernetes Pandas HIPAA PCI DSS

Data Engineer

Cognizant

Aug 2021 - Present (3 years 11 months)

Developed highly complex Python, Scala, and Go code, which is maintainable, easy to use, and satisfies application requirements for financial data processing and analytics. Utilized Azure Data Factory for ETL processes, focusing on data transformation, cleansing, validation, and quality assurance, complemented by complex SQL queries using Spark SQL dataframes within Azure Databricks and BigQuery.

Python Scala Go Azure Data Factory Databricks BigQuery Azure Synapse ADLS Kafka RabbitMQ Airflow Snowflake Oracle PostgreSQL MongoDB Azure DevOps Docker Azure Kubernetes Service Terraform PCI DSS GDPR

Associate Data Engineer

Cognizant

Jan 2020 - Present (5 years 6 months)

Conducted detailed analysis of data issues, mapping data from source to target, and performing data cleansing on the Data Warehouse. Designed ETL specification documents and implemented pipelines using Informatica, Azure Data Factory, and Apache Sqoop to load data into target systems.

Informatica Azure Data Factory Sqoop Snowflake Tableau Domo Git GitHub Selenium SQL NoSQL HBase Cassandra REST APIs Microservices GDPR HIPAA

Education

Degrees, certifications, and relevant coursework

St. Thomas University

Master of Science, Computer and Information Systems

Currently pursuing a Master of Science in Computer and Information Systems. The program focuses on advanced topics in computer science and information systems.