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Sara Wood

@sarawood1

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Lead Data Engineer at Databricks who built a Kafka and Spark streaming pipeline for near-real-time analytics.

United States

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At Databricks, I architected a data platform processing about 10 million events a day and built a Kafka and Spark Structured Streaming pipeline for near-real-time analytics with Snowflake.

I designed and maintained a Databricks Lakehouse for batch and streaming workloads, and led a migration from Hadoop to AWS. I also built supply chain analytics data models that improved inventory visibility, demand forecasting, and order fulfillment metrics by 40%+.

Previously, at Wayfair, I developed ETL pipelines processing 500M+ records daily and maintained a Snowflake data warehouse supporting enterprise reporting. At Mindtree and Cognizant, I worked on financial data pipelines, reporting, and data migration.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Databricks

Jul 2024 - Present (2 years 2 months)

Architected a data platform processing ~10M events/day and built real-time streaming pipelines using Kafka, Spark Structured Streaming, and Snowflake. Led migration from Hadoop to AWS and implemented CDC-based ingestion, improving performance and data reliability.

Apache Spark PySpark Kafka Snowflake Databricks AWS ETL Data Modeling Data Governance Airflow CI CD Docker Kubernetes

Senior Data Engineer

Wayfair

Jun 2021 - Jun 2024 (3 years)

Built ETL pipelines using Airflow, Spark, and SQL-based transformations, processing 500M+ records daily and reducing pipeline runtime by 30%. Developed and maintained a Snowflake data warehouse supporting 50+ BI dashboards and enterprise reporting for 200k+ users.

Apache Spark Airflow Snowflake SQL ETL Data Modeling Feature Engineering Data Validation

Data Engineer

Mindtree

Apr 2019 - May 2021 (2 years 1 month)

Built batch data pipelines using the Hadoop ecosystem (Hive, HDFS, Sqoop), handling 100M+ transactions daily. Developed ETL workflows for daily transaction processing and financial reporting, reducing processing errors by 30%.

Hadoop Hive HDFS Sqoop ETL SQL Data Modeling Star Schemas

Junior Data Engineer

Cognizant

Feb 2018 - Mar 2019 (1 year 1 month)

Built SQL-based ETL scripts for data extraction and transformation of client datasets. Developed Python automation scripts for data loads and file processing workflows, and performed data cleaning and transformation for reporting datasets.

SQL Python ETL Data Cleaning Data Migration BASH