Mar 2024 – Jan 2025 · 10 mos · London Area, United Kingdom · Remote

Jun 2023 – Jul 2023 · 1 mo · New York, United States · Remote

• Artificial Intelligence Professional Certificate course instructor.

Jan 2023 – Jul 2023 · 6 mos · New York, United States

• Collected requirements, designed, and built a middleware solution POC including a PostGres database
• populated from Kafka and a Python service to supply Hinge user data to Zendesk for Support Agents

Jul 2021 – Nov 2022 · 1 yr 4 mos · New York City Metropolitan Area

• Designed, implemented, and launched federated data warehouses to enable the launch of 12 projects from 7 engineering teams including our Core Clearing and Settlement Platform, Securities Lending Platform, and Electronic Execution Service.
• Initiated, organized and moderate a bi-weekly cross-engineering Data Infrastructure Design Discussion to break down silos and proactively align our team's roadmap to the engineering teams we support.
• Rebuilt data pipelines for critical start-of-day loading processes, decreasing run time by over 98% from the previous iteration, creating a scalable solution.

May 2020 – Jun 2021 · 1 yr 1 mo

• I managed the Data Engineering Team at Ocrolus as the Data Engineering Tech Lead. I worked closely with engineers based both in the US and India, serving as Product Owner for the Kafka based Data Platform. My focus was on providing a platform for real-time streaming data to help make Ocrolus more data driven!

Feb 2020 – May 2020 · 3 mos

• I stepped up to lead a team of data engineers, data analysts, and data scientists responsible for providing analysis and reporting using the home-grown batch ETL framework I set up. I also worked with senior management to implement an Agile transformation, streamlining the ingestion and requirements gathering and establishing a Scrum Agile engineering team with a 2 week sprint cycle.

Jun 2019 – May 2020 · 11 mos

• I was the first Data Engineer hired to build an analytics platform using Python (pandas, SQLAlchemy) to run batch ETL pipelines on containers in Kubernetes leveraging an AWS Redshift warehouse with AWS Database Migration Service (DMS) replicating 3 Postgres source databases.
• Built a “homegrown” Batch ETL framework in Python that runs on a cron schedule deploying containers through Kubernetes templates (AWS EKS) to run 30+ batch ETL pipelines hourly
• Set up monitoring of the logs and infrastructure of the Batch ETL framework, AWS Database Migration Service (DMS), and AWS Redshift to streamline my support responsibilities through automated emails and slack alerts.
• Integrated our Hubspot CRM system data leveraging my batch ETL framework to pull data from the API endpoints, transform the JSON’s using the python, write to my data model in the Redshift warehouse, and leverage Tableau to provide reporting for the Sales Team.

May 2017 – Jun 2019 · 2 yrs 1 mo · Greater New York City Area

• I provided management consultant services for the enterprise data offices of regional banks, asset managers, and investment banks ranging from strategic planning, technical architectures and implementation roadmaps, and staff augmentation services.
• Designed an Enterprise Cloud Data Lake Platform to support analytics on structured and unstructured data. In addition to designing an AWS centric technology architecture, I provided accompanying policies, cost estimates, resourcing estimates, and a technical implementation roadmap.
• Set up a Customer 360 platform using Informatica MDM and IDQ with match, merge, and data quality rules to accurately identify client records across many source systems

Jan 2017 – May 2017 · 4 mos

• I was part of a cross functional Agile Scrum Team, primarily responsible for building Batch ETL pipelines to analyze and deliver post trade data insights to our analytics platform for hedge fund clients.

Oct 2014 – Jan 2017 · 2 yrs 3 mos

Jun 2014 – Sep 2014 · 3 mos

Jan 2014 – Jun 2014 · 5 mos