Dheeraj D Email & Phone Number

Irving, Tx, Us

Virginia, United States

Designed, developed, and optimized ETL pipelines using Azure Data Factory, Synapse, and AWS Glue, reducing processing times by 30% while handling over 10TB of daily transaction data. Streamlined data ingestion and transformation using Azure Functions and Logic Apps, achieving 20% cost reduction and processing over 5 million daily transactions. Implemented real-time data streaming solutions using Apache Kafka, AWS Kinesis, and Azure Stream Analytics, enhancing fraud detection and improving response times by 20% with sub-100ms latency.Optimized data warehouses using Azure Synapse and Amazon Redshift, improving query performance by 40% and reducing query times from 30 to 5 seconds. Deployed Generative AI models using Azure OpenAI and GPT models, automating customer service, reducing response times by 40%, and improving fraud detection by 20%. Built NLP pipelines using Hugging Face Transformers, automating sentiment analysis and improving customer service by 25%.Reduced infrastructure costs by 15% through AWS EMR auto-scaling and spot instances. Developed synthetic datasets using GANs on Azure Databricks, improving model training performance by 30%. Enhanced compliance using PCI DSS, HIPAA, and GDPR security protocols with AWS IAM, KMS, and Azure Key Vault.Built real-time dashboards using Power BI and AWS QuickSight, reducing bottlenecks by 20% and enhancing decision-making. Automated data validation using Python and Azure Databricks, ensuring 99% data accuracy and reducing discrepancies in compliance reports. Improved ETL performance for both batch and streaming jobs using Apache Spark in AWS and Azure environments. Integrated CI/CD pipelines using Azure DevOps and YAML scripting, reducing deployment time by 40%.Managed data lakes on Amazon S3 and Azure Blob Storage, reducing retrieval time by 25% and storage costs by 15% with partitioning strategies. Ensured data governance with Azure Purview, improving auditability and data lineage.

Minnesota, United States

Designed and optimized ETL pipelines using Apache Spark, AWS Glue, and Sqoop, reducing processing times by 40% while handling over 5TB of daily healthcare data. Built and managed a data lake onAmazon S3 for structured and unstructured healthcare data, implementing lifecycle policies that reduced storage costs by 20% while ensuring high availability of historical records. Leveraged Amazon Redshift to create a healthcare data warehouse, improving query performance by 30% for compliance reporting and business intelligence.Developed real-time data streaming solutions using AWS Kinesis and Apache Kafka, processing thousands of health data points per second, improving patient outcomes by 15%. Automated data ingestion and transformation using AWS Lambda, reducing operational overhead by 25% while maintaining zero downtime for millions of health records. Ensured HIPAA and SOC 2 compliance by implementing AWS IAM and KMS for strict role-based access and encryption.Created complex SQL queries in Amazon Redshift and MySQL, reducing report generation time by 35% for audits and regulatory reviews. Collaborated with data scientists to improve machine learning models, increasing model accuracy by 20% and reducing patient readmission rates by 10%. Monitored and optimized healthcare data pipelines using AWS CloudWatch and Prometheus, maintaining 99.9% uptime.Migrated legacy healthcare systems to AWS, moving 20TB of patient records from on-premises Hadoop clusters to Amazon S3 and Redshift, reducing storage costs by 15%. Utilized AWS Athena for ad-hoc queries, improving access to patient demographic data by 40%. Built interactive dashboards using AWS QuickSight, providing key insights into patient outcomes, reducing hospital readmission rates by 8%.Implemented data governance frameworks using AWS Glue Data Catalog and Lake Formation, improving data lineage tracking. Automated Python and Unix Shell scripts, increasing data processing efficiency while reducing manual effort by 40%.

India

Assisted in automating data ingestion and developing scalable pipelines using AWS S3, Apache Spark, Python, and SQL for real-time processing of large data volumes. Contributed to managing and scaling AWS EMR clusters, reducing costs by 15% with auto-scaling and spot instances, while ensuring high availability for batch and real-time workflows. Supported the design and optimization of ETL pipelines using Hadoop, Spark, and AWS Glue, processing over 10TB of data daily. Improved ETL performance by 40% and assisted in integrating data from relational databases into Hadoop HDFS via Apache Sqoop, facilitating the migration of 5TB of legacy data. Built real-time data pipelines using Apache Kafka and AWS Kinesis, processing millions of events per second with low-latency delivery (<100ms). Developed dashboards using AWS QuickSight and Power BI, reducing data latency from hours to minutes. Contributed to writing complex SQL queries and optimizing storage in Amazon Redshift and Apache Hive, reducing query times by 40%. Participated in building and optimizing a scalable Amazon Redshift data warehouse, improving query response times from 30 to 5 seconds. Automated data validation and routine tasks using Python and Unix Shell scripting, ensuring 98% data accuracy across systems. Deployed and monitored 200+ daily jobs using Apache Oozie, maintaining 99.9% uptime and reducing job failures by 25%. Assisted in securing data using AWS IAM, S3 encryption, and KMS, ensuring GDPR compliance and zero security incidents. Optimized Spark jobs in AWS EMR, reducing execution times by 50% and ensuring smooth processing of up to 15TB of data. Configured and managed Hadoop clusters using Apache Ambari and YARN, ensuring efficient resource management and job scheduling, while maintaining high availability across nodes. Contributed to data cleaning and preprocessing tasks using Python and HiveQL, reducing data errors by 20%.

Master'S Degree, Computer Information Systems, 3.8

Bachelor'S Degree, Computer Science, 3.5

Activities and Societies: volleyball Left spiker, NCC cadet