Open to opportunities

Perry Perkins

@perryperkins

Message

I’m a senior data engineer scaling lakehouse and streaming pipelines to power ML-ready analytics.

United States

Message

What I'm looking for

I’m looking to build and modernize cloud data platforms—lakehouse architectures, real-time streaming pipelines, and ML-ready data—while strengthening governance, reliability, and observability across teams.

I’m a Senior Data Engineer with 10+ years building and scaling cloud-native data platforms across Cognizant, DoorDash, Lyft, and Pinterest. I specialize in lakehouse architectures, real-time streaming pipelines, and distributed data processing that reliably support ML-ready analytics.

In my recent work at Cognizant, I led enterprise data estate migrations to Snowflake—automating migration, code conversion, and development workflows to accelerate cloud modernization and AI-driven analytics. I designed Databricks Delta Lake and Snowflake lakehouse architectures using bronze/silver/gold medallion frameworks, and built high-throughput Kafka + Spark Structured Streaming pipelines for personalization, forecasting, and predictive use cases.

I also modernized analytics transformations with dbt and orchestrated complex workflows using Airflow, improving data quality, governance, observability, and SLA reliability. Across DoorDash and Lyft, I designed unified lakehouse architectures, optimized Spark ETL at scale, and developed feature engineering pipelines that connect batch and streaming datasets—so teams can iterate faster and deploy recommendation and predictive models with confidence.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Cognizant

Feb 2023 - Present (3 years 4 months)

Led enterprise data estate migrations to Snowflake for manufacturing and financial clients, automating migration, code conversion, and development workflows to accelerate cloud modernization. Designed Databricks/Snowflake lakehouse architectures and built Kafka/Spark streaming pipelines and ML-ready data pipelines orchestrated with Airflow and dbt to improve data quality, governance, and SLA relia

Snowflake Databricks Kafka Spark Structured Streaming Lakehouse Architecture Airflow DBT Terraform CI CD Data Governance

Senior Data Engineer

DoorDash

Jan 2020 - Jan 2023 (3 years)

Built large-scale real-time order analytics pipelines with Kafka and Spark to enable low-latency operational insights. Implemented a unified lakehouse architecture on Snowflake and Delta Lake, and modernized SQL transformations with dbt, automated data quality/observability with Great Expectations, and orchestration via Airflow.

Kafka Apache Spark Snowflake Delta Lake DBT Great Expectations Airflow Real Time Analytics

Data Engineer

Lyft

Apr 2017 - Jan 2020 (2 years 9 months)

Developed real-time trip analytics pipelines using Kafka and Spark for pricing, routing, ETA calculation, and operational intelligence. Built centralized data lake solutions on S3/HDFS with Hive and Presto, and standardized transformation workflows with dbt and Airflow to improve scalability, data quality, and reliability.

Kafka Apache Spark S3 HDFS Hive Presto DBT Airflow Real Time Analytics

Data Analyst

Jul 2015 - Mar 2017 (1 year 8 months)

Designed and maintained executive dashboards and reporting in Looker and Tableau to monitor user engagement, advertising performance, and content trends. Conducted deep analytical work on experimentation and engagement data, partnering with data engineering and data science to define scalable data models and prepare analytics/ML-ready datasets.

Looker Tableau Data Visualization Experimentation Analytics Data Modeling User Engagement Advertising Analytics