Hemanth Kumar G

About Hemanth Kumar G

I have a results- driven Data Engineering experience in designing, developing, and optimizing data pipelines for large-scale data processing and analytics. Proficient in utilizing tools such as dbt, DataStage, Python, and Snowflake, airflow, pyspark with a strong understanding of data modeling, ETL processes, and database design principles. Proven track record of successfully delivering complex data engineering projects on time and within budget, while ensuring data accuracy, integrity, and security. Adept at collaborating with cross-functional teams and stakeholders to gather requirements, understand business needs, and deliver data solutions that meet or exceed expectations. Skilled in leveraging Python scripting for data processing, data transformation, and data validation tasks, automating repetitive tasks and improving efficiency. Recognized for exceptional performance, contributions to team success, and commitment to quality data engineering practices. Key Skills: Data engineering: ETL processes, data modeling, database design, data validation, data profiling, data quality assessment Tools: dbt, DataStage, Python, Snowflake Data processing: data ingestion, data transformation, data integration, data consolidation Database technologies: relational databases, cloud data warehouses Data scripting: Python scripting, automation, data validation frameworks Collaboration: cross-functional teams, stakeholder management, requirements gathering Performance optimization: data pipeline optimization, performance tuning, query optimization Data security: data privacy, data encryption, data access controlsI

Experience

1. Senior Data Engineer

   AgFirst Farm Credit Bank

   Oct 2022 — Present · Columbia, SC, US

   I have extensive experience in designing, developing, and maintaining scalable AWS-based data solutions, leveraging services like S3, EC2, RDS, Redshift, and Lambda. My expertise includes optimizing Snowflake data processing with Snow SQL and developing ETL/ELT pipelines using PySpark, Hive, and Databricks. I’ve integrated on-premises and cloud environments, ensuring seamless data flows and migration. I also have hands-on experience with big data frameworks like Apache Spark and Hadoop, enabling efficient processing of large datasets. My work emphasizes data governance, security, and optimization, ensuring cost-effective and high-performing data solutions across diverse cloud and big data platforms.

Education

• Gandhi Institute of Technology and Management (GITAM)

  Bachelor's degree

  2009 — 2013