Dinesh Damera
@dineshdamera
Experienced Data Engineer specializing in scalable data platforms.
United StatesWhat I'm looking for
I am a Data Engineer with over 5 years of experience in building secure and scalable data platforms across healthcare, banking, and financial services. My expertise lies in developing real-time and batch data pipelines using technologies such as Spark, Kafka, and Databricks, handling over 30 million records daily. I have successfully delivered cloud-native solutions on AWS, Azure, and GCP, ensuring compliance and enabling real-time analytics.
Throughout my career, I have designed ETL frameworks and data models that support machine learning and advanced analytics. My work at HCA Healthcare involved optimizing ETL jobs and automating workflows, achieving a 99.9% pipeline success rate. I am passionate about enforcing data security and compliance, utilizing IAM, RBAC, and KMS encryption to protect sensitive information. I thrive in dynamic environments and am committed to delivering high-quality data solutions that drive business value.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
HCA Healthcare
Jul 2024 - Present (10 months)
As a Senior Data Engineer at HCA Healthcare, I developed real-time data pipelines using Kafka and Spark, optimizing ETL jobs and enhancing data security compliance. I designed AWS-based lakehouse architecture and automated workflows, achieving high pipeline success rates and reducing alert latency significantly.
Data Engineer - Banking & Financial Services
Capgemini
Jan 2019 - Jul 2023 (4 years 6 months)
At Capgemini, I built scalable ETL pipelines for banking and financial services, migrating to real-time processing with Kafka and Delta Lake. I delivered regulatory datasets with full audit traceability and deployed CI/CD pipelines, ensuring compliance with GDPR and enhancing data accessibility.
Education
Degrees, certifications, and relevant coursework
SUSouthern Arkansas University
Master’s, Information Systems
Grade: 4.0 / 4.0
Focused coursework in Data Warehousing, Distributed Systems, and Cloud Computing. Achieved a GPA of 4.0 / 4.0 and ranked in the top 5% of the class.
GTGITAM Institute of Technology
Bachelor’s, Computer Science & Engineering
Grade: 3.8 / 4.0
Capstone project focused on developing an Intelligent ETL Framework for Real-Time Transaction Data in Financial Systems. Achieved a GPA of 3.8 / 4.0.
Availability
Location
United StatesAuthorized to work in
Skills
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