Benjamin Cook
@benjamincook
Senior Data & Full Stack Engineer with extensive technical expertise.
What I'm looking for
As a Senior Data & Full Stack Engineer, I have a proven track record of designing and implementing scalable data solutions that drive efficiency and enhance decision-making. My experience spans across various industries, including legal technology and finance, where I have successfully built robust ETL pipelines and integrated advanced analytics features.
At Skadden, I architected a hybrid data infrastructure that improved data access for global legal teams and integrated advanced legaltech features, significantly enhancing discovery efficiency. My role at Verizon involved developing reusable RESTful APIs and scalable microservices that accelerated access to critical financial insights, demonstrating my ability to bridge technical and business needs effectively.
With a strong foundation in Python, SQL, and various data handling technologies, I am committed to delivering high-quality solutions that meet stringent compliance and security standards. I thrive in collaborative environments and am passionate about leveraging technology to solve complex challenges.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer, Legal Technology
Skadden, Arps, Slate, Meagher & Flom LLP
Oct 2022 - Present (2 years 10 months)
Designed and implemented scalable ETL pipelines to process terabytes of structured and unstructured legal data, supporting analytics, compliance, and legal operations. Architected and maintained hybrid data infrastructure (on-premises and Azure cloud), enabling secure, high-availability data access across global legal teams.
Full Stack Engineer, Finance
Verizon
Jan 2020 - Sep 2022 (2 years 8 months)
Built reusable RESTful APIs to integrate real-time financial feeds and billing data into dashboards for capital allocation, revenue forecasting, and finance leadership, accelerating access to critical insights. Designed and implemented scalable microservices solutions that reduced deployment cycles and long-term technical debt by approximately 40%, leveraging industry best practices in microservic
Backend Engineer, Business Risk
Morgan Stanley
Jun 2017 - Jan 2020 (2 years 7 months)
Designed and developed backend systems to automate ingestion and aggregation of risk-related data from multiple sources, including trade records, audit logs, counterparty risk profiles, and regulatory compliance checkpoints. Engineered robust Python and SQL-based ETL pipelines to support real-time portfolio risk monitoring, reducing data latency and enabling near-instantaneous alerting for high-vo
Data Engineer, Operations
Goldman Sachs
May 2015 - Jun 2017 (2 years 1 month)
Built and automated data extraction and transformation scripts using Python and SQL, streamlining the generation of operational and audit reports used by risk and control teams. Designed and maintained high-volume stored procedures and optimized schema definitions for core operational reporting databases, ensuring scalability and performance.
Backend Engineer, Operations
GE Capital
Nov 2013 - Jan 2015 (1 year 2 months)
Wrote shell scripts and SQL stored procedures to orchestrate large-scale data pipelines, managing transactional data and generating compliance reports. Built ingestion routines to migrate and transform legacy logs and monitoring data into normalized SQL Server dashboards for audit and performance review.
Education
Degrees, certifications, and relevant coursework
Stevens Institute of Technology
Bachelor of Engineering, Engineering Management
2009 - 2013
Grade: Dean's Honor List
Activities and societies: Dean's Honor List (2011–2013)
Studied Engineering Management, focusing on the intersection of engineering principles and business administration. Gained expertise in project management, operations, and technical leadership.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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