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Benjamin Clark

@benjaminclark

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Senior Data Engineer with expertise in scalable data solutions.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth, where I can leverage my data engineering skills to drive impactful solutions.

I am a Senior Data Engineer with over 10 years of experience in designing and maintaining scalable data solutions across AWS, GCP, and Azure. My expertise lies in developing ETL pipelines, optimizing data warehousing, and implementing advanced analytics. I have a proven track record of collaborating with cross-functional teams in agile environments to enhance decision-making and support strategic business goals.

At Accenture, I designed and implemented ELT pipelines using Snowflake, dbt, and AWS Glue, ensuring robust data modeling aligned with business KPIs. My role involved migrating legacy ETL processes to a modern cloud-based architecture, optimizing for scalability and cost efficiency. I also developed workflows in Apache Airflow, improving pipeline observability and reducing SLA misses.

Previously at Stripe, I led the modernization of data platforms, migrating legacy pipelines into scalable ELT frameworks and managing real-time data streams with Kafka and Spark. My commitment to mentoring junior engineers and establishing best practices has significantly boosted engineering velocity across teams. I am passionate about leveraging data to drive insights and operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Accenture

Jan 2023 - Present (2 years 7 months)

Designed and implemented ELT pipelines using Snowflake, dbt, and AWS Glue, enabling efficient transformation and centralized access to diverse data sources. Migrated legacy ETL processes to a modern cloud-based warehouse architecture using Snowflake, optimizing for scalability, security, and cost efficiency.

Snowflake DBT AWS Glue ETL SQL Python Apache Airflow Tableau Power BI

Lead Data Engineer

Stripe

Dec 2021 - Present (3 years 8 months)

Led Stripe's data platform modernization by migrating legacy pipelines into scalable ELT frameworks using dbt, Apache Airflow, and Snowflake, improving developer productivity and data reliability. Designed and managed real-time data streams with Kafka and Spark Structured Streaming to power transaction analytics, fraud detection, and user activity monitoring.

DBT Apache Airflow Snowflake Kafka Spark Structured Streaming GitHub Actions)Amundsen Great Expectations

Senior Data Engineer

Stripe

Jun 2017 - Present (8 years 2 months)

Developed and maintained scalable data pipelines on AWS using Spark, EMR, Redshift, and S3, processing billions of payment events, session logs, and user activities daily. Created robust star schema–based models in Redshift and Snowflake, enabling teams across product, risk, and finance to self-serve data efficiently.

AWS Spark EMR Redshift S3 Snowflake Looker DBT Data Modeling

Data Engineer

Stripe

Oct 2015 - Present (9 years 10 months)

Helped build Stripe's early data infrastructure stack on AWS, provisioning VPCs, EC2, RDS, and S3 to support secure, scalable batch processing. Designed and launched ingestion pipelines to centralize payments, user activity, and fraud signals into Stripe's internal data lake.