K

Krushna Borkar

Data Engineer

Pune, Maharashtra, India7 yrs 9 mos experience
Highly Stable

Key Highlights

  • Pioneered GenAI data infrastructure solutions.
  • Led migration of legacy ETL systems with zero disruption.
  • Established robust data quality framework in Databricks.
Stackforce AI infers this person is a Senior Data Engineer specializing in cloud data architecture and AI/ML solutions.

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Skills

Core Skills

Data EngineeringCloud Platforms

Other Skills

FastAPIFlyteDockerKubernetesGoogle DriveSharePointOneDriveSnowflakeBigQueryDatabricksETLAzure Synapse WarehousePythonMicroStrategyPower BI

About

🚀 Certified Senior Data Engineer with 7+ years of experience transforming complex data challenges into scalable, business-driving solutions. 💡 WHAT I DO: • Design and implement high-performance data pipelines processing TBs of data daily • Build end-to-end data architectures on Azure, AWS, and Google Cloud platforms • Develop AI/ML solutions and GenAI applications for enterprise-grade deployments • Lead data engineering teams and mentor junior developers 🎯 KEY ACHIEVEMENTS: • Pioneered GenAI data infrastructure solutions enabling cost-effective enterprise AI application deployment • Rectified critical business deviation through reengineered forecasting ETL solution with optimized ELT architecture • Led successful migration of legacy ETL systems to modern cloud platforms with zero business disruption • Established robust data quality framework within Databricks Lakehouse architecture ensuring enterprise-grade data accuracy ⚡ TECHNICAL EXPERTISE: • Languages: Python, Java, SQL, PL/SQL • Cloud Platforms: Azure , AWS , GCP, Microsoft Fabric • Big Data: Apache Spark, Kafka, Hadoop, Delta Lake, Kafka, Iceberg • DWH - Snowflake, BigQuery, Databricks, MS Fabric • Databases: PostgreSQL, MongoDB, Oracle, SQL Server, Snowflake, ArangoDB, MilVus • Tools: Databricks, Flyte, Docker, Kubernetes, PowerBI, Collibra, DBT, Airflow, MicroStrategy, Grafana, Looker • DevOps: Docker, Kubernetes, Git, Jenkins, Azure DevOps, Terraform • API: FastAPI, GraphQL 📊 I’m passionate about turning data into actionable insights that drive business growth. Whether it’s building real-time streaming pipelines, implementing data quality frameworks, or architecting lakehouse solutions, I love solving complex data challenges. 🤝 Let’s connect if you’re looking to: • Scale your data infrastructure • Implement modern data engineering solutions • Build AI/ML data pipelines • Migrate to cloud-native architectures Always open to discussing data engineering, cloud technologies, and innovative solutions!

Experience

7 yrs 9 mos
Total Experience
2 yrs 11 mos
Average Tenure
1 yr 11 mos
Current Experience

Velotio technologies

Senior Data Engineer

Jul 2024 – Present · 1 yr 11 mos · Pune, Maharashtra, India · Remote

  • Design and implement high-performance API-based data ingestion pipelines using FastAPI, Flyte, Docker, and Kubernetes
  • Architecture and implementation of data platform solutions for different SaaS products/clients
  • Integrate APIs with external data sources (Google Drive, SharePoint, OneDrive, Snowflake) for real-time and batch processing
  • Develop data connector solutions for multiple data sources (BigQuery, Snowflake, Databricks)
  • Create multi-step Flyte pipelines for data preprocessing, model training, evaluation, and Ingestion
  • Implement GraphDB, Vector DB, and Document DB solutions for GenAI applications
  • Integrated Great Expectations (GX) with Databricks to automate data validation in ETL/ELT pipelines
  • Developed modular, reusable DBT models to transform raw data into analytical datasets
FastAPIFlyteDockerKubernetesGoogle DriveSharePoint+6

Cgi

2 roles

Senior Data Engineer

Promoted

Oct 2022 – Jul 2024 · 1 yr 9 mos

  • Reengineered underperforming forecasting ETL solution, rectifying $12.5M business deviation through optimized ELT architecture
  • Led performance-tuning initiatives achieving 50% improvement in Azure Synapse Warehouse data processing
  • Managed data modeling with dimension tables incorporating SCD1 and SCD2 attributes
  • Architected and migrated legacy Ab-initio ETL to modern Azure cloud platform (Databricks, Data Factory)
  • Automated Data Factory pipeline creation using Python scripts, saving 15+ hours weekly
  • Contributed to MicroStrategy to Power BI migration project
  • Integrated supply chain and inventory data into Collibra data catalog
ETLAzure Synapse WarehousePythonMicroStrategyPower BICollibra+2

Data Engineer

Jun 2021 – Oct 2022 · 1 yr 4 mos

Tietoevry

Junior Technical Consultant

Sep 2018 – Jun 2021 · 2 yrs 9 mos · Pune Area, India

Education

Government College of Engineering, Amravati.

Bachelor of Technology (B.Tech.) IT — Information technology

Jul 2014 – May 2018

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