# Surabhi Chanchal

> Software Engineer | Data Engineer | Data Platform Engineer | AI Engineer

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/surabhichanchal

Results-driven Software & Data Engineering professional with experience in designing and scaling modern data platforms and lakehouse architectures. Proven track record of reducing costs and improving reliability through automated data pipelines, optimized compute, and analytics-driven insights. Delivers secure, high-performance data foundations that enable faster decision-making and self-service analytics.

## Work Experience
### Sr Software Engineer - Data & AI Platform @ Crysalis Biosciences, Inc.
Jan 2024 – Present | San Francisco Bay Area
- Developed end-to-end ML pipelines on Databricks for preprocessing, feature engineering, and model training using PySpark and Delta Lake. 
- Developed a Universal Data Layer (UDL) leveraging AWS S3, Apache Iceberg and AWS Glue Catalog to enable a zero-copy data sharing mechanism. 
- Developed features for Self-Serve Data Observability Service which automates configuration of Data 
Reliability Policies – Data Quality, Data Recon, Data Drift and Schema Drift. 
- Developed features for Self-Serve Data Publishing Service [Reverse-ETL] to publish data to external 
systems.
- Developed CI/CD pipelines to automate deployment of DBT models across environments.

Technology Used: Java, Python, DBT, SQL, PySpark, Databricks, Apache Iceberg, Airflow, Spring Boot

### Software Engineer - AI/ML and Data Platform @ Nous Infosystems
Jan 2021 – Jan 2023 | San Francisco Bay Area
- Developed features for Data Distributor – a config driven tool which processes the data in 
real-time and batch. 
- Developed a BDP Monitoring application that monitors data quality and safeguards pipeline 
integrity. 
- Developed API to manage Kafka consumers running using Spring Boot. 
- Optimized SQL queries and enhanced database performance by 45%, accelerating reporting for clinical decision-making and administrative planning. 

Technology Used: Python, Java, React, SQL, Spark, SpringBoot, Kafka, Kubernetes

### Software Engineer - Enterprise Data and Analytics Engineering @ Cognizant
Jan 2017 – Jan 2021 | San Francisco Bay Area
- Developed a real-time streaming ingestion framework with Spark Structured Streaming and Kafka, delivering data to Snowflake for analytics.
- Developed Spark jobs for OfferMatch components using the Spark DataFrame API in Scala.
- Developed features for Cloud Digital Artery - enables rapid development and deployment of data 
pipelines. 
- Developed and productionized ML models for insurance risk prediction, including validation and ongoing monitoring, driving a 70% improvement in performance.

Technology Used: Python, Java, Apache Spark, Snowflake, Machine Learning, Tableau


## Education
### Master of Science - MS in Computer Science
Georgia State University

### Bachelor of Technology - BTech in Electrical and Electronics Engineering
Biju Patnaik University of Technology (BPUT), Rourkela


## Contact & Social
- LinkedIn: https://linkedin.com/in/surabhichanchal25

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Source: https://flows.cv/surabhichanchal
JSON Resume: https://flows.cv/surabhichanchal/resume.json
Last updated: 2026-04-01