Led the architecture and implementation of AWS-based ETL pipelines and Analytics platform, designing and developing data integrations and products.

ACHIEVEMENTS:

• Technical Leadership & Team Development - Built the data function from the ground up, hiring and developing a team that included a mid-level data engineer and a data scientist. Provided technical leadership, coaching, and mentorship.

• Project: Serverless Data Pipelines - Implementing cloud-native ETL pipelines and a Data Analytics and Insights platform by leveraging key AWS services and Apache Airflow for Orchestration.

• Project: Data Integrations and APIs - Building data integrations with market data providers and brokers. Building data APIs using a microservices architecture, deploying Docker and Kubernetes for container orchestration. Leveraging Fast API and Functions as a Service on AWS Lambda with API Gateway for efficient and modular API development.

• Project: Analytics and Insights - Building an analytics and insights framework to facilitate faster time-to-market of Pythonic functions. Implementing analytics for Equities, FX, and Fund/ETF asset classes, focusing on financial markets and client multi-asset portfolios, including Cryptocurrencies.