Dharsha Padmanabhan

About Dharsha Padmanabhan

As a Data Engineer at People Tech Group, I leverage my AWS Cloud Practitioner certification and my Master of Engineering in Communication Systems to generate and analyze data and metrics across the company. I have strong skills in data visualization, SQL, and Linux, and I use tools such as Google Looker Studio and Tableau to design effective dashboards and reports that provide real-time people analytics in the organization.In my previous role as a Data Analyst at JerseySTEM, I transformed unstructured information from various data sources into usable reports and performed quality assurance checks to ensure their accuracy. I also developed an onboarding cycle report and a report that showed the number of messages and emails sent from Slack and email. I am passionate about using data to drive data-driven decision making and decision support, and I enjoy working with a diverse and collaborative team that values innovation and learning. I am eager to bring my data analysis and data visualization skills to new challenges and opportunities that align with the organization’s culture and goals.

Experience

1. Data Engineer

   People Tech Group Inc

   Feb 2023 — Present · Redmond, WA, US

   I\'ve developed and automated scalable, production-grade data pipelines across AWS to support mission-critical caregiver training, credential, and employment workflows.Key responsibilities-Built end-to-end ETL pipelines using AWS Glue (PySpark/Python), Step Functions, Lambda, EventBridge, S3, and PostgreSQL-Developed data validation, cleansing, and mapping frameworks for high-volume caregiver datasets (training, credential, employment, and training eligibility data)-Automated raw → staging → prod workflows with error logging, audit trails, schema evolution handling, and S3/RDS integration-Optimized SQL queries, materialized views, and stored procedures to enhance data quality and processing speed-Integrated data pipelines with downstream systems for eligibility calculation, compliance reporting, and training lifecycle updates-Collaborated with cross-functional teams to deliver reliable, high-quality data solutions that reduced manual workload and improved operational accuracy.Tech Stack: AWS Glue, PySpark, Python, Lambda, Step Functions, EventBridge, S3, RDS/PostgreSQL, SQL, Power BI, Azure Synapse Analytics, ADF.

Education

• Anna University Chennai

  Bachelor of Engineering , Electronics and Communication Engineering

• Per Scholas

  AWS Cloud Practitioner, Information Technology

• Anna University Chennai

  Master of Engineering, Communication Systems