Keshav Narayan Balot

About Keshav Narayan Balot

Hi, I’m Keshav Narayan Balot — a results-driven Data Engineer with 2+ years experience in building scalable data platforms, Lakehouse architectures, and real-time analytics systems. I focus on transforming raw, fragmented data into reliable, analytics-ready datasets that drive informed business decisions. Expertise:Hands-on experience with Python, Advanced SQL, and Java Spring Boot, combined with modern data stack tools such as Databricks, Apache Spark, Snowflake, and PostgreSQL. Strong background in Kafka-based real-time streaming, Airflow orchestration, and Docker/Kubernetes (AWS EKS) for building resilient, production-grade data systems.🧠 Data Platforms & Governance:Designed and operated enterprise-scale data platforms supporting 200K+ governed data assets. Built Data Discovery and Governance platforms providing metadata, lineage, ownership, and policy-driven access (RBAC/ABAC), reducing data access turnaround time by ~40–50% and improving data trust across business teams. Engineering & Observability:Developed Spark-based ETL pipelines (Databricks-style workflows) for batch and streaming workloads, with a strong emphasis on SLA-driven execution, cost-aware optimization, and pipeline reliability. Worked extensively with ElasticSearch and the ELK stack for logging, search, and operational observability, and used n8n for workflow automation and integrations. Professional Journey:Previously contributed to Customer 360 (C360) platforms, building data reconciliation frameworks (row counts, null checks, aggregates, multithreading), data quality scoring, and anomaly detection systems. Played a key role in evolving platforms from monolithic Django services to Java Spring Boot microservices, complemented by React + TypeScript dashboards for data visualization. Looking Ahead:Passionate about building scalable, governed, and observable data platforms. Eager to work on Databricks, Lakehouse, and platform engineering challenges where I can drive reliability, performance, and business impact at scale. Let’s connect and build data systems that truly matter

Experience

1. Data Engineer

   Piramal Finance

   Jul 2024 — Present · Mumbai, IN

   Designed and operated a scalable enterprise data platform supporting batch and real-time analytics, powering 200K+ governed data assets across multiple business domains.Built a Data Discovery and Governance platform providing metadata, lineage, and ownership visibility, reducing data access turnaround time by ~40–50%.Owned end-to-end Snowflake data warehousing and Lakehouse warehousing, including Delta-based modeling, partitioning, ABAC, RBAC, and cost-aware query optimization for analytics workloads.Contributed in Spark-based ETL pipelines processing large-scale datasets with SLA-driven orchestration via Apache Airflow.Implemented Kafka-based real-time ingestion pipelines, enabling low-latency event processing and near real-time data availability.Deployed and scaled containerized data services using Docker and Kubernetes (AWS EKS), improving platform reliability and operational isolation.Established CI/CD pipelines with GitHub Actions for data and backend services, enabling automated testing, versioning, and production deployments.

Education

• Apex International School - India

  Senior, Mathematics and Computer Science

• Sardar Vallabhbhai National Institute of Technology, Surat

  Bachelor of Technology - BTech, Electrical and Electronics Engineering

  2020 — 2024