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I am a data engineer and analyst with 5+ years of experience designing and maintaining robust ELT pipelines using Snowflake, Airflow, PySpark, and AWS to ensure data quality and timely delivery of insights to stakeholders. I have built automated workflows for data integration and migration from legacy environments, improving operational efficiency and data accessibility across platforms. I excel in SQL, pipeline orchestration, and data governance, and I enjoy collaborating with BI and architecture teams to solve business problems and drive data-driven decisions. I manage both legacy and modern data systems, maintain comprehensive documentation, observability, and data quality monitoring to ensure reliability and compliance.…I am a data engineer and analyst with 5+ years of experience designing and maintaining robust ELT pipelines using Snowflake, Airflow, PySpark, and AWS to ensure data quality and timely delivery of insights to stakeholders. I have built automated workflows for data integration and migration from legacy environments, improving operational efficiency and data accessibility across platforms. I excel in SQL, pipeline orchestration, and data governance, and I enjoy collaborating with BI and architecture teams to solve business problems and drive data-driven decisions. I manage both legacy and modern data systems, maintain comprehensive documentation, observability, and data quality monitoring to ensure reliability and compliance.

Nithin Reddy Musku

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

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I am a data engineer and analyst with 5+ years of experience designing and maintaining robust ELT pipelines using Snowflake, Airflow, PySpark, and AWS to ensure data quality and timely delivery of insights to stakeholders. I have built automated workflows for data integration and migration from legacy environments, improving operational efficiency and data accessibility across platforms. I excel in SQL, pipeline orchestration, and data governance, and I enjoy collaborating with BI and architecture teams to solve business problems and drive data-driven decisions. I manage both legacy and modern data systems, maintain comprehensive documentation, observability, and data quality monitoring to ensure reliability and compliance.…I am a data engineer and analyst with 5+ years of experience designing and maintaining robust ELT pipelines using Snowflake, Airflow, PySpark, and AWS to ensure data quality and timely delivery of insights to stakeholders. I have built automated workflows for data integration and migration from legacy environments, improving operational efficiency and data accessibility across platforms. I excel in SQL, pipeline orchestration, and data governance, and I enjoy collaborating with BI and architecture teams to solve business problems and drive data-driven decisions. I manage both legacy and modern data systems, maintain comprehensive documentation, observability, and data quality monitoring to ensure reliability and compliance.

Available to hire

I am a data engineer and analyst with 5+ years of experience designing and maintaining robust ELT pipelines using Snowflake, Airflow, PySpark, and AWS to ensure data quality and timely delivery of insights to stakeholders.

I have built automated workflows for data integration and migration from legacy environments, improving operational efficiency and data accessibility across platforms. I excel in SQL, pipeline orchestration, and data governance, and I enjoy collaborating with BI and architecture teams to solve business problems and drive data-driven decisions. I manage both legacy and modern data systems, maintain comprehensive documentation, observability, and data quality monitoring to ensure reliability and compliance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Javanese

Advanced

Afar

Intermediate

Work Experience

Senior Data Engineer at Cardinal Health

June 1, 2024 - Present

Designed and implemented robust ELT pipelines leveraging Snowflake and AWS, enhancing data processing efficiency by 30% and ensuring timely delivery of insights to stakeholders. Developed automated workflows using Apache Airflow and dbt for seamless data integration, reducing manual intervention and improving data accuracy. Collaborated with BI and architecture teams to optimize data queries and reporting capabilities. Managed legacy and modern data systems with strong data quality and observability. Led migration support from legacy environments to cloud-based solutions, minimizing downtime. Maintained thorough documentation and promoted data governance. Conducted performance tuning, achieving a 25% reduction in processing time. Mentored junior data engineers and performed data quality audits.

Data Engineer - Cloud Modernization at Nationwide Insurance

October 1, 2022 - May 31, 2024

Engineered and optimized data pipelines using AWS and PySpark, reducing latency by 40%. Implemented automated data ingestion with Fivetran into Snowflake. Created documentation for data workflows, implemented monitoring for pipeline observability, participated in AGILE ceremonies, and trained team members on cloud data engineering. Refined data models for performance and scalability; executed migration strategies from on‑premise to cloud environments and enhanced SQL queries for BI initiatives.

Big Data Engineer at Meijer

July 1, 2021 - August 31, 2022

Developed and maintained scalable data pipelines using Apache Spark and AWS, enabling analytics initiatives and collaboration with data scientists on ML models. Optimized data storage in S3, reducing costs by 20% and improving data accessibility. Implemented data quality checks and automated ingestion with Apache Kafka; documented architecture and workflows; reviewed code; evaluated performance metrics and optimized pipelines; supported BI tool integration for reporting.

Data Engineer - ETL & Integration at American Express

March 1, 2020 - June 30, 2021

Engineered ETL processes using Informatica and SQL, ensuring seamless data flow across systems. Collaborated with cross‑functional teams, documented ETL workflows, performed data profiling and cleansing, and implemented performance tuning. Participated in AGILE ceremonies and mentored junior members; supported BI teams to enable data visualization and ensured high availability of pipelines.