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Hi, I’m Durga Telu. I’m a data professional with four years of experience in healthcare and cloud data engineering, specializing in AWS (Glue, Lambda, Redshift), Python, SQL, and automated ETL pipelines that scale to multi-terabyte data. I enjoy turning complex data into reliable, scalable solutions and actionable insights. I design Power BI and QuickSight dashboards to improve operational efficiency, data quality, and regulatory readiness across enterprise systems. I love collaborating with cross-functional teams to translate data into business impact and to build robust data platforms that support compliance and decision-making.…Hi, I’m Durga Telu. I’m a data professional with four years of experience in healthcare and cloud data engineering, specializing in AWS (Glue, Lambda, Redshift), Python, SQL, and automated ETL pipelines that scale to multi-terabyte data. I enjoy turning complex data into reliable, scalable solutions and actionable insights. I design Power BI and QuickSight dashboards to improve operational efficiency, data quality, and regulatory readiness across enterprise systems. I love collaborating with cross-functional teams to translate data into business impact and to build robust data platforms that support compliance and decision-making.

Durga Telu

Data Scientist, Data Analyst, AI Engineer, +1

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Hi, I’m Durga Telu. I’m a data professional with four years of experience in healthcare and cloud data engineering, specializing in AWS (Glue, Lambda, Redshift), Python, SQL, and automated ETL pipelines that scale to multi-terabyte data. I enjoy turning complex data into reliable, scalable solutions and actionable insights. I design Power BI and QuickSight dashboards to improve operational efficiency, data quality, and regulatory readiness across enterprise systems. I love collaborating with cross-functional teams to translate data into business impact and to build robust data platforms that support compliance and decision-making.…Hi, I’m Durga Telu. I’m a data professional with four years of experience in healthcare and cloud data engineering, specializing in AWS (Glue, Lambda, Redshift), Python, SQL, and automated ETL pipelines that scale to multi-terabyte data. I enjoy turning complex data into reliable, scalable solutions and actionable insights. I design Power BI and QuickSight dashboards to improve operational efficiency, data quality, and regulatory readiness across enterprise systems. I love collaborating with cross-functional teams to translate data into business impact and to build robust data platforms that support compliance and decision-making.

Available to hire

Hi, I’m Durga Telu. I’m a data professional with four years of experience in healthcare and cloud data engineering, specializing in AWS (Glue, Lambda, Redshift), Python, SQL, and automated ETL pipelines that scale to multi-terabyte data. I enjoy turning complex data into reliable, scalable solutions and actionable insights.
I design Power BI and QuickSight dashboards to improve operational efficiency, data quality, and regulatory readiness across enterprise systems. I love collaborating with cross-functional teams to translate data into business impact and to build robust data platforms that support compliance and decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Analyst at Dell Technologies

May 1, 2020 - August 1, 2022

Designed AWS Glue, Lambda, and S3 pipelines processing 4.6 TB of daily telemetry data for hardware performance analytics across Dell's enterprise ecosystem. Developed Python validation scripts using Pandas and Boto3 to cleanse and transform millions of configuration logs into structured Redshift tables for downstream reporting. Streamlined ETL orchestration with Airflow DAGs and Step Functions, reducing pipeline failures and improving data lineage visibility. Administered DevOps workflows in AWS CodePipeline and Jenkins to automate analytics workloads and cut manual release preparation time. Configured Dockerized environments with ECS/Fargate across 7 data clusters, optimizing compute resource utilization. Built monitoring dashboards in CloudWatch and Grafana to visualize storage, job latency, and system uptime for 20+ analyst teams.

Data Analyst at McKesson

May 1, 2022 - August 1, 2024

Engineered automated ETL pipelines in AWS Glue, Lambda, and S3 to ingest and transform 2 TB daily pharmacy transactions into Redshift, enabling timely reporting and improved data freshness. Developed Python validation scripts using Pandas and Boto3 to monitor data integrity across 8 warehouses, detecting anomalies in real time and improving shipment accuracy by 14K records monthly. Optimized SQL and Redshift queries for claims and inventory datasets, reducing execution time from 12 minutes to under 3 minutes and enabling faster enterprise dashboards across five business units. Built Power BI and QuickSight dashboards to monitor prescription fulfillment, supplier performance, and regulatory compliance. Collaborated with governance and engineering teams to implement AWS Lake Formation and IAM access, ensuring secure, auditable access for 100+ analysts across North America. Processed and standardized EHR/EMR datasets in Redshift and Python, improving patient record accuracy and supporting

Data Analyst at McKesson

August 1, 2024 - Present