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I'm a data engineer with 6+ years of experience designing, building, and optimizing cloud-native data platforms and large-scale ETL/ELT pipelines across Azure, AWS, and GCP. I've specialized in Azure Data Factory, Microsoft Fabric, Synapse, and Databricks, enabling metadata-driven frameworks, Delta Lakehouse patterns, and bronze–silver–gold architectures for enterprise data management. I also focus on data governance, security, and compliance, implementing RBAC and privacy controls, and collaborating with business teams to deliver dashboards and insights that accelerate decision making. I'm comfortable across the full stack of data engineering and analytics, from ingestion and modeling to visualization and ML-ready asset preparation, and I thrive in cross-functional, deadline-driven environments.…I'm a data engineer with 6+ years of experience designing, building, and optimizing cloud-native data platforms and large-scale ETL/ELT pipelines across Azure, AWS, and GCP. I've specialized in Azure Data Factory, Microsoft Fabric, Synapse, and Databricks, enabling metadata-driven frameworks, Delta Lakehouse patterns, and bronze–silver–gold architectures for enterprise data management. I also focus on data governance, security, and compliance, implementing RBAC and privacy controls, and collaborating with business teams to deliver dashboards and insights that accelerate decision making. I'm comfortable across the full stack of data engineering and analytics, from ingestion and modeling to visualization and ML-ready asset preparation, and I thrive in cross-functional, deadline-driven environments.

Adithya Reddy

Data Scientist, Data Analyst, AI Engineer, +3

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I'm a data engineer with 6+ years of experience designing, building, and optimizing cloud-native data platforms and large-scale ETL/ELT pipelines across Azure, AWS, and GCP. I've specialized in Azure Data Factory, Microsoft Fabric, Synapse, and Databricks, enabling metadata-driven frameworks, Delta Lakehouse patterns, and bronze–silver–gold architectures for enterprise data management. I also focus on data governance, security, and compliance, implementing RBAC and privacy controls, and collaborating with business teams to deliver dashboards and insights that accelerate decision making. I'm comfortable across the full stack of data engineering and analytics, from ingestion and modeling to visualization and ML-ready asset preparation, and I thrive in cross-functional, deadline-driven environments.…I'm a data engineer with 6+ years of experience designing, building, and optimizing cloud-native data platforms and large-scale ETL/ELT pipelines across Azure, AWS, and GCP. I've specialized in Azure Data Factory, Microsoft Fabric, Synapse, and Databricks, enabling metadata-driven frameworks, Delta Lakehouse patterns, and bronze–silver–gold architectures for enterprise data management. I also focus on data governance, security, and compliance, implementing RBAC and privacy controls, and collaborating with business teams to deliver dashboards and insights that accelerate decision making. I'm comfortable across the full stack of data engineering and analytics, from ingestion and modeling to visualization and ML-ready asset preparation, and I thrive in cross-functional, deadline-driven environments.

Available to hire

I’m a data engineer with 6+ years of experience designing, building, and optimizing cloud-native data platforms and large-scale ETL/ELT pipelines across Azure, AWS, and GCP. I’ve specialized in Azure Data Factory, Microsoft Fabric, Synapse, and Databricks, enabling metadata-driven frameworks, Delta Lakehouse patterns, and bronze–silver–gold architectures for enterprise data management.

I also focus on data governance, security, and compliance, implementing RBAC and privacy controls, and collaborating with business teams to deliver dashboards and insights that accelerate decision making. I’m comfortable across the full stack of data engineering and analytics, from ingestion and modeling to visualization and ML-ready asset preparation, and I thrive in cross-functional, deadline-driven environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

Language

English

Fluent

Work Experience

Senior Azure Data Engineer at Family Fare, LLC

March 1, 2023 - November 24, 2025

Engineered scalable ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric, integrating metadata-driven frameworks to improve data processing efficiency. Built lakehouse solutions on ADLS Gen 2 with Delta Lake and Databricks, implementing bronze–silver–gold architectures for governance, lineage, and optimized analytical performance. Developed PySpark transformations in Azure Databricks with multi-terabyte datasets, enabling partitioning, caching, and tuning. Integrated real-time streaming pipelines with Azure Event Hub, Databricks Structured Streaming, and Fabric Data Flows for fraud detection and operational monitoring. Implemented data governance and security controls with Purview, RBAC, and Key Vault, ensuring GDPR/HIPAA compliance and enterprise data privacy policies. Collaborated with business teams to deliver Power BI dashboards connected to Fabric and Synapse, providing predictive insights and KPIs that reduced reporting time by 35%. Implemented ETL processes to str

AWS Data Engineer at Chase

March 1, 2023 - March 1, 2023

Designed and developed scalable ETL/ELT pipelines using AWS Glue, EMR (Spark), and Step Functions, processing multi-terabyte structured and semi-structured datasets with high reliability. Built and optimized data lakes and warehouses on Amazon S3, Redshift, and Athena, leveraging partitioning, compression, and Spectrum to reduce query costs and improve performance by 30%. Implemented real-time streaming pipelines with Kinesis Data Streams, Firehose, and Lambda, enabling low-latency ingestion and analytics for fraud detection and transaction monitoring. Automated infrastructure provisioning with Terraform and CloudFormation, improving environment setup efficiency and ensuring consistency across accounts. Integrated machine learning workflows by connecting SageMaker, Redshift, and S3, streamlining model training, validation, and deployment into production-ready pipelines. Applied data governance, monitoring, and security frameworks using IAM, CloudWatch, CloudTrail, and Lake Formation, e

Data Engineer at Aspirion Health Resources

January 1, 2021 - January 1, 2021

Designed and implemented scalable ETL/ELT pipelines using Cloud Dataflow and Dataproc (Spark) to process structured and semi-structured datasets for analytics and reporting. Built and optimized BigQuery data warehouses with clustering, partitioning, and materialized views, reducing query execution time by 40% and cutting storage costs by 25%. Developed real-time streaming pipelines leveraging Pub/Sub and Dataflow, enabling near real-time insights for customer behavior, fraud detection, and operational monitoring. Automated workflow orchestration with Cloud Composer (Airflow), streamlining governance reporting and ensuring data pipelines meet SLAs across multiple business domains. Collaborated with business analysts to design interactive dashboards in Looker and Looker Studio, providing KPIs, forecast insights, and predictive analytics that improved decision-making speed by 30%. Applied data governance, monitoring, and security controls using IAM, Cloud Monitoring, Data Catalog, and KMS