Pavan Chandra Email & Phone Number

Illinois, United States

At Abbott, I play a key role as an Azure Data Engineer, creating advanced data solutions using Azure PaaS services to align with business objectives. I oversee and implement ETL workflows leveraging Azure Data Factory, T-SQL, and Spark SQL, ensuring seamless data movement and transformation. I develop robust SOAP and REST APIs that improve data accessibility for critical applications. My expertise in creating Azure Data Factory pipelines supports data extraction and transformation from various sources, while optimized T-SQL queries boost performance. With a strong focus on Azure Databricks, I deliver deep data insights and ensure efficient data processing. Through structured deployment practices and regular code reviews, I contribute to consistency and quality. Working within agile teams, I collaborate with stakeholders, lead training initiatives, and foster a culture of innovation and continuous learning.

Massachusetts, United States

During my time at the State of Massachusetts, I led the design and deployment of big data solutions based on Hadoop and Azure. I developed reliable data pipelines using Azure Data Factory and Databricks, optimizing Azure SQL Data Warehouse to strengthen business intelligence efforts. Working cross-functionally, I enabled effective data visualizations and spearheaded cloud migration strategies. By accurately estimating cluster sizes and setting up robust monitoring systems, I maintained high performance. Integrating Power BI and Synapse Studio, I provided thorough data analysis, supporting key business decisions. I also contributed by creating proof-of-concepts to validate innovative solutions, mentoring team members, conducting code reviews, and implementing best practices for high project standards.

Texas, United States

At Staples, I contributed significantly by automating and optimizing data workflows through Databricks and Azure Data Factory. I managed data processing for both batch and streaming solutions using Databricks clusters and Spark Streaming. My role involved reinforcing data security, building reusable components, and enhancing efficiency through CI/CD deployment pipelines. I leveraged my knowledge of NoSQL databases and Hive queries to handle substantial data volumes and integrated multiple data sources into modern BI platforms. My efforts facilitated the seamless ingestion of data into Azure Synapse Analytics and streamlined data operations.

Hyderabad, Telangana, India

At EPAM India, I developed and optimized big data solutions using key Hadoop ecosystem components like HDFS, Hive, and MapReduce to drive efficient data processing. I implemented Map-Reduce programs that significantly improved data quality and enhanced analytics capabilities. Leveraging my expertise in Hive UDFs and Pig Latin scripts, I streamlined data cleaning and transformation processes for large-scale data sets. By integrating Sqoop, I facilitated seamless data transfer between Oracle databases and Hadoop, supporting comprehensive data analysis. I collaborated with cross-functional teams to understand reporting needs and wrote complex SQL queries to deliver actionable insights. My role included performing performance tuning on HiveQL and SparkSQL, which enhanced query efficiency and reduced processing time. Through active code reviews and mentoring, I promoted best practices within the team, contributing to a culture of continuous learning and high performance.