I am an experienced Senior Data Engineer with over 10 years of expertise in designing and deploying scalable cloud-native data pipelines across various cloud platforms including GCP, AWS, and Azure. I am skilled in SQL, Python, and Spark, and have hands-on experience integrating Generative AI to optimize workflows, automate tasks, and improve data delivery. My focus has been on healthcare data, ensuring compliance with GDPR and HIPAA, and driving automation and innovation in data ecosystems. My career journey includes leading technical architecture for cloud warehouses, migrating and optimizing large-scale data infrastructures, and mentoring teams to adopt best practices in modern data engineering and AI integration. I leverage my strong skills in ETL/ELT pipeline development, real-time analytics, AI, and machine learning to create impactful data-driven solutions.

Hareen Edla

I am an experienced Senior Data Engineer with over 10 years of expertise in designing and deploying scalable cloud-native data pipelines across various cloud platforms including GCP, AWS, and Azure. I am skilled in SQL, Python, and Spark, and have hands-on experience integrating Generative AI to optimize workflows, automate tasks, and improve data delivery. My focus has been on healthcare data, ensuring compliance with GDPR and HIPAA, and driving automation and innovation in data ecosystems. My career journey includes leading technical architecture for cloud warehouses, migrating and optimizing large-scale data infrastructures, and mentoring teams to adopt best practices in modern data engineering and AI integration. I leverage my strong skills in ETL/ELT pipeline development, real-time analytics, AI, and machine learning to create impactful data-driven solutions.

Available to hire

I am an experienced Senior Data Engineer with over 10 years of expertise in designing and deploying scalable cloud-native data pipelines across various cloud platforms including GCP, AWS, and Azure. I am skilled in SQL, Python, and Spark, and have hands-on experience integrating Generative AI to optimize workflows, automate tasks, and improve data delivery. My focus has been on healthcare data, ensuring compliance with GDPR and HIPAA, and driving automation and innovation in data ecosystems.

My career journey includes leading technical architecture for cloud warehouses, migrating and optimizing large-scale data infrastructures, and mentoring teams to adopt best practices in modern data engineering and AI integration. I leverage my strong skills in ETL/ELT pipeline development, real-time analytics, AI, and machine learning to create impactful data-driven solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Sr. Data Engineer at Alamar
July 1, 2023 - Present
Led architecture design for cloud data warehouses using Snowflake, Azure Synapse, and Redshift. Developed and optimized ETL pipelines, data models, and orchestrations ensuring data compliance and quality. Integrated Generative AI models for automation and anomaly detection, improving workflows by 35%. Managed migrations from on-premises to cloud systems and mentored junior engineers. Utilized wide range of tools across cloud platforms to deliver scalable, high-performance healthcare data solutions.
Data Engineer at Specsavers
June 30, 2023 - August 26, 2025
Designed and built data ingestion and processing pipelines leveraging Azure Data Factory, Databricks, and Snowflake. Implemented streaming and batch solutions, automated workflows using Airflow, and worked on large-scale migrations from SQL Server to Snowflake. Developed predictive models with PySpark and Scala, and delivered reporting solutions using QlikView, Power BI, and Tableau for regulatory and financial compliance.
Data Engineer at JP Morgan Chase
February 28, 2021 - August 26, 2025
Developed Spark applications for data processing and real-time analytics using AWS and GCP services. Led migration of legacy data warehouse from BigQuery to Redshift, reducing costs and improving performance. Created real-time streaming data pipelines using Kafka and Spark Streaming, and worked extensively with Hadoop ecosystem components. Designed scalable NoSQL data models and built automated reporting dashboards with Power BI and Tableau.
Data Engineer at Atrium Health
July 31, 2019 - August 26, 2025
Architected and implemented an enterprise data lake and data pipelines on AWS using Snowflake and DBT. Developed security frameworks for fine-grained access control and implemented machine learning algorithms for demand prediction. Used Spark, AWS EMR, and Lambda functions for transforming and orchestrating large datasets. Automated quality controls to reduce effort by 70% and ensured compliance with HIPAA and GDPR standards.
Data Analyst at Sind Technologies, Hyderabad, India
October 31, 2015 - August 26, 2025
Developed stored procedures and ETL jobs to extract data from various sources and load into Redshift data mart. Designed logical and physical data models and created reports using SSRS. Worked on MS SQL Server, SSIS for designing ETL frameworks, and coordinated with clients for data extraction and processing.

Education

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Qualifications

Microsoft Certified Fabric Data Engineer Associate
January 11, 2030 - August 26, 2025
AWS Data Engineer Associate
January 11, 2030 - August 26, 2025

Industry Experience

Healthcare, Financial Services, Software & Internet, Professional Services, Other