Dharmesh Kumar Email & Phone Number

Irving, Texas, United States

🚀 As a Data Engineer at Citi Bank, I've led the design and implementation of data processing systems leveraging cloud-based technologies like AWS and GCP.🔧 I've spearheaded the development of robust ETL pipelines, using Python, Apache Spark, and Apache Airflow to handle large and complex datasets efficiently. This included designing and optimizing workflows to ensure seamless data processing.💡 My role involved crafting data models and schemas for SQL and NoSQL databases, guaranteeing scalability and performance. I've been instrumental in fine-tuning SQL queries and managing AWS Glue jobs to streamline data processing operations.📊 I've driven insights from vast datasets using tools like EMR, Glue, and Spark, and translated them into actionable intelligence through data visualizations and dashboards created with Tableau. Effectively communicating these insights to stakeholders has been a key part of my contribution.☁️ Leveraging cloud services such as AWS Glue, Lambda, and S3, as well as GCP services like BigQuery and Data Proc, I've played a pivotal role in building and managing data lakes, optimizing query performance, and driving data-driven decision-making.🌟 Passionate about harnessing the power of data to fuel organizational growth and innovation, I've been dedicated to contributing to the success of data-driven initiatives and driving measurable impact.

Hyderabad, Telangana, India

🚀 As a Data Engineer at XChain Technologies, I played a key role in building a modern data platform, enabling reliable and timely data ingestion and processing.🔧 Developed scalable and fault-tolerant data ingestion pipelines using Apache Spark, capable of handling various data sources including streaming and batch data. 💡 My responsibilities included designing and building data ingestion frameworks using Azure DataBricks, and creating custom connectors using Azure Logic Apps and Azure Event Grid to seamlessly integrate data sources and destinations. 🌟 Automated data pipelines using Azure Logic Apps and Azure Functions, implementing DevOps CI/CD for continuous integration and deployment.📊 Designed and maintained ETL and ELT workflows for data transformation and integration using Azure Databricks, Azure Data Factory, and Azure Synapse Analytics paired with scalable data architectures using Azure services like Azure SQL Database, Cosmos DB, and Blob Storage.☁️ Utilizing Azure Synapse Analytics as a centralized data warehousing solution, developed and implemented data models for business intelligence and data visualization, facilitating scalable and high-performance data querying and analysis.