About Me
Hi, I’m Hari Krishna G, a passionate and performance-driven Senior Data Engineer with over 11 years of experience in designing and delivering scalable, cloud-native data solutions.
I specialize in end-to-end data pipeline development, data modeling, and building robust analytics platforms that drive real-time insights and business value. Over the years, I’ve architected and implemented advanced data ecosystems across industries—working with companies like Salesforce and spearheading impactful projects in the cloud using AWS, Azure, Snowflake, Databricks, and Apache Spark.
Whether it’s building a real-time sentiment analytics engine for political campaigns or optimizing data pipelines that process billions of rows in minutes, I thrive on solving complex data challenges with a clear focus on performance, scalability, and data integrity.
🔧 What I Do Best:
- Build and orchestrate high-volume data pipelines using tools like dbt, Airflow, Kafka, and Spark
- Design and implement incremental data models and SCD Type 2 logic for historical tracking
- Deliver real-time analytics platforms on the cloud (AWS, Azure) for decision-making at scale
- Collaborate cross-functionally to align data architecture with business needs
📊 My Toolbox Includes:
Python, SQL, PYSpark, dbt, Databricks, Synapse Analytics, Snowflake, Airflow, Kafka, Azure Data Factory, AWS Glue, Power BI
💡 My Mission:
To build data platforms that empower organizations with timely, trustworthy insights—and make data-driven decisions not just possible, but easy.
Whether you’re looking to optimize your analytics pipeline, improve data quality, or scale your data stack in the cloud—I’m here to help turn data into an engine for growth.