Richitha
Mid-Level Data Engineer
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Richitha D. is a Data Engineer known for her robust expertise in data extraction, data manipulation, and predictive analytics across the Healthcare, Retail, and Financial sectors. With over four years of experience, she has honed her skills in SQL, Python, and cloud technologies such as AWS and GCP, utilizing advanced tools like Looker Studio, Power BI, Tableau, and Big Query. Currently at Abbott Laboratories, she engineers scalable data pipelines on AWS, significantly enhancing monitoring efficiency for 50,000+ diabetic patients while delivering actionable insights through advanced data visualization. At Mars Inc., she executed market basket analyses and optimized retail strategies, partnering closely with sales and marketing teams. In her previous role at Accenture, she improved financial reporting accuracy and efficiency, deploying automated data cleaning pipelines. Richitha's academic background includes a Master of Science in Data Science from the University of North Texas and a Bachelor’s in Electronics and Communication Engineering from Sreenidhi Institute of Science & Technology.
Experience
Data Engineer
Abbott Laboratories · 2025 — PresentEngineered scalable data pipelines on AWS (S3, Redshift, Lambda) for processing real-time CGM sensor data, improving monitoring across 50K+ diabetic patients. Built and maintained Power BI dashboards to monitor CGM device performance and operational KPIs. Modeled glucose variability using spline interpolation to enhance trend accuracy and clinical interpretation. Conducted root cause analysis on glucose reader software failures, contributing to a reduction in update-related issues. Managed large datasets using SQL and automated reporting pipelines across Salesforce and Redshift. Collaborated with R&D, Quality, and Operations teams to define reporting requirements and deliver actionable insights.Data Analyst
Mars Inc. · 2024 — 2025Performed Market Basket Analysis with SQL for data extraction and cleansing from various retail locations, ensuring dataset integrity for analysis. Integrated Salesforce CRM data with retail sales analytics to refine marketing strategies. Designed and automated customer journey workflows in Automation Studio. Developed AMPscript and SSJS for personalized content. Analyzed inventory trends using SQL and Python to optimize supply chain efficiency. Applied the Apriori algorithm with the MLxtend library in Python to identify purchasing patterns. Worked with sales and marketing to align findings with business strategies.Associate Data Analyst
Accenture · 2019 — 2022Orchestrated financial reporting for $10M annual revenue utilizing SQL, enhancing efficiency through in-depth analysis. Initiated data accuracy improvements, implementing processes that reduced reporting errors. Automated data cleaning pipelines with AWS Managed Workflows for Apache Airflow, alleviating manual workloads. Developed a high-performance ETL pipeline using AWS Glue, which improved data processing speed. Monitored daily data logs for accuracy in invoicing. Created dynamic dashboards in Power BI integrating real-time data from SAP and Oracle ERP systems, enhancing reporting accessibility. Collaborated with teams to develop financial KPIs using AWS QuickSight.
Skills & Expertise
Education
- Master of Science in Data ScienceUniversity of North Texas · 2022 — 2024
- Bachelor of Engineering in Electronics and Communication EngineeringSreenidhi Institute of Science & Technology · 2016 — 2020