About goverdhan
Data Engineer with 4+ years of experience building scalable, cloud-native data platforms for financial services, payment systems, and enterprise analytics. I specialize in designing high-performance batch and real-time data pipelines using Databricks, Apache Spark, Snowflake, Azure, AWS, Kafka, Python, SQL, and dbt. Throughout my career, I've delivered production-grade data solutions that process 30M+ daily payment events, improve reporting accuracy, reduce data latency, and enable analytics and machine learning at enterprise scale. Core Expertise * Data Engineering* ETL / ELT Development * Apache Spark & PySpark * Databricks Lakehouse * Delta Lake * Snowflake * Azure Data Factory * AWS Glue & S3 * Kafka & Spark Structured Streaming * Data Warehousing * Medallion Architecture * Data Modeling * Data Governance * Microsoft Purview * Unity Catalog * Great Expectations * Airflow * Terraform * CI/CD * MLflow * OpenAI APIs * RAG Pipelines * Power BI Career Highlights * Built scalable data platforms processing 30M+ payment events daily * Reduced streaming latency by 85% * Achieved 99.9% production pipeline availability * Delivered 99.8% reporting accuracy * Processed 20M+ financial records across enterprise platforms * Developed AI-ready semantic search and RAG data pipelines supporting 500K+ merchants * Built modern Lakehouse architectures using Databricks and Delta Lake * Designed enterprise-scale Snowflake warehouses and dbt transformation frameworks * Automated CI/CD, Infrastructure as Code, workflow orchestration, and data quality monitoring I enjoy solving complex data engineering challenges, optimizing distributed data processing, and building reliable data platforms that empower analytics, business intelligence, and AI applications. I'm always interested in connecting with professionals working in Data Engineering, Cloud Engineering, Big Data, Analytics Engineering, and AI Data Platforms.
Key Skills
Experience
Data Engineer
CurrentSquare
* Built scalable Databricks, Spark, Kafka, and Snowflake pipelines processing 30M+ daily payment events * Delivered 99.9% pipeline availability through Airflow, Terraform, and CI/CD automation * Developed AI-ready RAG and semantic search pipelines using OpenAI APIs, LangChain, and Pinecone * Implemented enterprise data governance using Unity Catalog, Purview, and Great Expectations * Collaborated with analytics, ML, and product teams to deliver trusted production datasets * Reduced end-to-end streaming latency by 85%
Graduate Research And Teaching Assistant
Dakota State University
* Built cloud-native Spark, dbt, and Airflow data pipelines * Designed Delta Lake Lakehouse architectures * Developed Kafka streaming pipelines * Built Power BI dashboards * Mentored graduate students in Data Engineering and Cloud Computing
Junior Data Engineer
Happiest Minds Technologies
* Built enterprise ETL/ELT pipelines processing 20M * financial records * Reduced processing delays by 28% * Improved reporting accuracy by 32% * Developed Spark, Azure Data Factory, Kafka, and SQL-based data platforms * Built Power BI dashboards for 150 * business users
Education
Dakota State University
Masters
Rise Above Academy
Bachelor Of Technology
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Common Questions
What is goverdhan's expertise?
goverdhan specializes in Vector Database Engineer, with expertise in ai ml, ai ready data platforms, analytical skills, apache airflow, audit compliance.
Where is goverdhan located?
goverdhan is based in madison, south dakota, united states.
How much experience does goverdhan have?
goverdhan has 5+ years of professional experience.
How can I contact goverdhan?
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