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I'm Deekshith Reddy Yellu, a Data & AI Engineer with 6+ years of experience building scalable data platforms and pipelines in healthcare and enterprise domains. I focus on Snowflake, dbt, AWS, and Azure to deliver reliable batch and streaming analytics solutions. I emphasize data quality and deliver value through CI/CD automation, infrastructure as code, and stakeholder-friendly reporting with Power BI and Tableau. I'm passionate about enabling AI capabilities with robust data models, semantic layers, and clear dashboards that drive timely decisions.…I'm Deekshith Reddy Yellu, a Data & AI Engineer with 6+ years of experience building scalable data platforms and pipelines in healthcare and enterprise domains. I focus on Snowflake, dbt, AWS, and Azure to deliver reliable batch and streaming analytics solutions. I emphasize data quality and deliver value through CI/CD automation, infrastructure as code, and stakeholder-friendly reporting with Power BI and Tableau. I'm passionate about enabling AI capabilities with robust data models, semantic layers, and clear dashboards that drive timely decisions.

Deekshith Reddy Yellu

Data Scientist, Full Stack Developer, Cloud Developer, +2

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I'm Deekshith Reddy Yellu, a Data & AI Engineer with 6+ years of experience building scalable data platforms and pipelines in healthcare and enterprise domains. I focus on Snowflake, dbt, AWS, and Azure to deliver reliable batch and streaming analytics solutions. I emphasize data quality and deliver value through CI/CD automation, infrastructure as code, and stakeholder-friendly reporting with Power BI and Tableau. I'm passionate about enabling AI capabilities with robust data models, semantic layers, and clear dashboards that drive timely decisions.…I'm Deekshith Reddy Yellu, a Data & AI Engineer with 6+ years of experience building scalable data platforms and pipelines in healthcare and enterprise domains. I focus on Snowflake, dbt, AWS, and Azure to deliver reliable batch and streaming analytics solutions. I emphasize data quality and deliver value through CI/CD automation, infrastructure as code, and stakeholder-friendly reporting with Power BI and Tableau. I'm passionate about enabling AI capabilities with robust data models, semantic layers, and clear dashboards that drive timely decisions.

Available to hire

I’m Deekshith Reddy Yellu, a Data & AI Engineer with 6+ years of experience building scalable data platforms and pipelines in healthcare and enterprise domains. I focus on Snowflake, dbt, AWS, and Azure to deliver reliable batch and streaming analytics solutions.

I emphasize data quality and deliver value through CI/CD automation, infrastructure as code, and stakeholder-friendly reporting with Power BI and Tableau. I’m passionate about enabling AI capabilities with robust data models, semantic layers, and clear dashboards that drive timely decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data & AI Engineer at Teladoc Health

October 1, 2025 - Present

Contributed to an enterprise healthcare data platform on Snowflake with medallion architecture across ingestion, staging, conformed, and data mart layers; established Cube as a semantic layer; created reusable dbt macros; built structured dbt projects; implemented delete-and-insert and merge-based incremental strategies; Python-based validation to prevent broken SQL generation; automated end-to-end CI/CD on AWS for 150+ healthcare transformations nightly.

Data Engineer at Dell Technologies

April 1, 2025 - September 30, 2025

Architected AWS Glue and S3 pipelines to consolidate 4TB of enterprise data into Redshift; managed Terraform IaC; implemented secure Salesforce to Snowflake ingestion with CDC; built Lambda ingestion validation; delivered batch & streaming pipelines using Spark SQL, Delta Lake, and Auto Loader; PySpark/SQL transformations on AWS EMR; provisioned Kinesis, Firehose, and Lambda pipelines for telemetry events; supported ingestion frameworks for LLM/RAG pipelines; designed Power BI dashboards for real-time insights.

Data Engineer at McKesson

August 1, 2024 - December 31, 2024

Coordinated data orchestration using AWS Step Functions and MWAA; monitored pipelines with CloudWatch/CloudTrail; designed Power BI dashboards for fraud analytics; supported Kubernetes deployments; delivered real-time streaming with Apache Kafka achieving sub-second latency for downstream consumption.

Data Engineer at Capgemini

December 1, 2018 - July 31, 2023

Developed Python scripts to automate AWS infrastructure management; engineered secure SFTP-to-S3 data pipelines; deployed Fivetran ELT pipelines; managed incremental syncs and schema drift; containerized pipelines with Docker and deployed on AWS ECS; enhanced ETL workflows with Talend/SSIS; used Erwin for data modeling.

Data Analyst at Adani

August 1, 2017 - October 31, 2018

Built ETL pipelines with Azure Data Factory and Databricks to ingest 500GB daily IoT data into Azure Data Lake; modeled data in Azure Synapse; created Tableau dashboards for executive KPIs; implemented data validation with Azure Data Catalog and Python; configured Azure Event Hubs with Stream Analytics for 100K+ daily sensor events.