Titus Pellegrom

Dynamic Data Engineer/Quantitative Analyst leveraging cloud technologies and data analytics to drive organizational efficiency and informed decision-making in a high-growth company. Equipped with a Bachelor's and Master's in Econometrics, forming a strong foundation for a deep understanding of quantitative analysis and programming, underpinning innovative solutions in data management and analysis. Proven expertise in synthesizing complex data into actionable insights, with a strong foundation in finance and a passion for automation and system optimization.

What I Do

Data Engineering

I specialize in building and optimizing cloud infrastructures, primarily using AWS, to streamline data collection and processing pipelines. My work helps companies improve data management, reduce operational risks, and enhance efficiency through automation and scalable solutions.

Quantitative Analysis

With a solid foundation in Econometrics and Financial Engineering, I apply advanced data analysis techniques to turn complex data into actionable insights. I leverage Python, R, and SQL to create models that drive decision-making and optimize financial strategies.

Automation Solutions

I design automation frameworks that improve system performance, reduce manual intervention, and minimize human error. My passion for system optimization has led to the development of innovative tools for liquidity management and real-time reporting in fast-paced environments.

Cloud-Based Solutions

I have extensive experience building and maintaining AWS cloud infrastructures that support large-scale data operations. I implement secure and efficient cloud architectures, ensuring high availability and scalability for mission-critical systems.