Deb Paul Email & Phone Number

Arlington, Va, Us

Purchase, New York, Us

As a Manager, I lead a team of 9 Data Engineers for D&S Technology NAM, who are responsible for building and supporting ETL processes for 30+ clients leveraging Mastercard's Test and Learn suite of products. My responsibilities include -• Managing staffing of teammates to individual projects - balancing individual growth of each member, team bandwidth and business needs/ requirements.• Defining processes and best practices for executing tasks in an Agile development framework.• Organizing training sessions for onboarding new members and mentoring them to ensure repeatable, consistent results and improving overall team efficiency.• Fostering a strong one-team culture and empowering teammates to continuously grow together in their role as Data Engineers.• Leading the design and development of automated data pipelines for transforming and loading complex feeds, with specific focus on quick and efficient data processing, strong commercial orientation through end-user focus and consistent data documentation practices.• Collaborating cross-office with Software Development, Data Science, Product Management, Client Delivery and Tech Infrastructure teams to understand and work on potential avenues for improving core processes, products and tools as well as identifying and executing data asks from these teams.Acted as the Recruitment Leader for Advisors Data Delivery Team across NAM and Europe, working with Talent Acquisition globally to define our recruitment process, creating documentation, conducting resume reviews, training interviewers and conducting interviews for the Data Engineering Launch and Intern positions.

Purchase, New York, Us

Purchase, New York, Us

Analyzed the different supply chains of a global client base to obtain an in-depth knowledge of real-world complex datasets and the relationships that exist between them.Collaborated with a multitude of client Operations/ Analytics teams from diverse verticals to gain insights into the client business, identified potential areas of improvements and provided data-driven solutions.Developed and implemented mathematics-based enterprise data ETL solutions to optimize the process of integrating very large and complex business datasets, in order to instantiate and configure the Mastercard software platform.Built statistical tests using SQL/ C#/ Python to conduct exploratory analysis, and ensured that data is error-free, analytically relevant and does not contain logical irregularities.Utilized Operations Research methodologies like optimization, statistical analysis and test/control simulation strategies to come up with solutions that help client businesses operate more efficiently and cost-effectively.Enhanced big data pipelines using Python, C#, SSIS and Unix PowerShell scripts to solve complex technical challenges and implemented parallelization frameworks in order to optimize processing times of querying and analyzing high-dimensional data.

Purchase, New York, Us

Purchase, New York, Us

College Station, Tx, Us

Conducted Statistical Data Analysis and Evaluation of Undergraduate Engineering students’ Self-efficacy as part of a National Science Foundation Project. Key achievements: Surveyed over 200 students from multiple institutions using self-efficacy questionnaires Analyzed the data using statistical tools to obtain key insights, differentiating over institution, gender and rankPerformed Factor Analysis for exploring interrelationships between different self-efficacy measures

In

Applied data analysis techniques in the context of material selectionAscertained the mechanical properties of modified steel and titanium alloys using nano-indentation methodologyVisualized the experimental data using Origin and evaluated results against existing alternatives to determine the suitability of the alloys as bio-medical implants

New Delhi, Delhi, In

Kolkata, West Bengal, In

Master Of Science - Ms, Industrial Engineering

Bachelor Of Engineering - Be, Production And Industrial Engineering