
Ravi Sevalkar
@ravisevalkar
I build scalable real-time data platforms, Spark pipelines, and AI-enabled solutions that reduce costs and improve performance.
What I'm looking for
At Realogy, I led Kafka-Debezium real-time CDC ingestion, Spark ETL frameworks, and Scala-based compaction on AWS. My open-source data integration work with Debezium and DLT delivered $2.5M in annual savings, while Spark and Glue optimization improved job performance by more than 300%.
I've built distributed reporting, streaming, and data platforms across Realogy, Capital One, Freestar, SpotX, and Microsoft. I also build agentic AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, MCP, and evaluation frameworks, grounded in Scala, functional programming, and enterprise data architecture.
Experience
Work history, roles, and key accomplishments
Principal Data Engineer
Realogy
Jul 2021 - Feb 2026 (4 years 7 months)
Led the design and implementation of a Kafka-Debezium based real-time CDC ingestion platform. Built Spark-based ETL frameworks and a Scala compaction framework, achieving $2.5M in annual savings and over 300% performance improvement.
Senior Data Engineer
Capital One
Nov 2020 - Jul 2021 (8 months)
Developed microservices-based APIs using Play Framework and built optimized ETL pipelines in Scala and Python. Collaborated with data science teams on entity and transaction resolution systems.
Principal Data Engineer
Freestar
Nov 2019 - Sep 2020 (10 months)
Migrated ETL orchestration to Airflow/Cloud Composer on GCP, improving maintainability and developer velocity. Designed custom aggregate pipelines and led BI tool evaluation initiatives.
Senior Software Engineer
SpotX
Mar 2017 - Sep 2019 (2 years 6 months)
Designed and implemented a full-scale reporting platform using Scala, Akka, Hadoop, and Spark. Improved Spark ingestion pipeline performance by 200% through query optimization, saving $250K annually.
Directed implementation of Unified Licensing and Key Management for Office 365. Defined enterprise data models integrating SAP, Sales, Billing, and Usage systems.
Senior Software Engineer
Tekarch Systems
Jun 2007 - Mar 2012 (4 years 9 months)
Developed enterprise software components in C++ and Python. Built auditing utilities for large-scale data processing systems and conducted feasibility analysis for trading systems.
Education
Degrees, certifications, and relevant coursework
Nagpur University
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from Nagpur University.
University of Nebraska-Lincoln
Master of Science, Computer Science
Master of Science in Computer Science from the University of Nebraska-Lincoln.
Tech stack
Software and tools used professionally
Apache Spark
AWS Glue
Microsoft Azure
Google Cloud Storage
GitHub
GitLab
Kubernetes
GitLab CI
PySpark
Debezium
dbt
MySQL
Hadoop
Google Analytics
Databricks
Terraform
Python
Java
Scala
Kafka
Grafana
Prometheus
Datadog
Apollo
Docker
Airflow
SQL
Akka
LangChain
Foundry
LanceDB
Cursor
Harness
GitHub Copilot
Bash
pgvector
Agentic
LangGraph
Azure AI Foundry
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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