Nanda B Email & Phone Number

United States

Florida, United States

Experienced data engineer with a strong background in big data analytics and cloud platforms, particularly AWS. I've led successful migrations of on-premises data lake environments to AWS, proficient in data ingestion, transformation, and orchestration using Terraform, AWS Lambda, and Apache Airflow. Skilled in designing and implementing complex ETL workflows with Databricks, Matillion, and Informatica. My expertise extends to developing and maintaining data transformation pipelines, ensuring traceable and reproducible data analysis. I excel in optimizing performance and scalability of data processing, implementing robust security measures for data governance. Additionally, I have extensive experience in claims data management, integrating diverse sources and creating structured, reliable data models. Collaborative and adaptable, I leverage technologies like Spark, Snowflake, Tableau, and MongoDB to deliver actionable insights and drive business outcomes. Committed to continuous learning, I stay updated with the latest advancements in cloud and data technologies to remain at the forefront of innovation.

Mclean, Virginia, United States

As an accomplished Data Engineer specializing in Azure and AWS, I possess a comprehensive skill set in crafting robust data solutions on cloud platforms, spanning the entire data pipeline from implementing standards to managing extensive data volumes. Proficient in Azure Data Factory, Databricks, and other Azure PaaS services, I design and implement end-to-end data pipelines ensuring data quality and optimal architecture. My expertise extends to claims data management, where I've successfully led projects optimizing pipelines for processing claims data with precision and efficiency. Leveraging T-SQL, Spark SQL, and U-SQL, I seamlessly extract, transform, and load data from diverse sources into Azure Data Storage services. With hands-on experience in data normalization, warehousing, and real-time analytics, I drive business outcomes in the claims domain. My proactive approach and strong teamwork skills enable me to overcome complex challenges, delivering efficient and scalable data engineering solutions that create tangible value for stakeholders.

Houston, Texas, United States

Experienced in the complete Software Development Life Cycle (SDLC), I specialize in designing and implementing robust end-to-end data pipelines on AWS using services such as AWS Glue, Lambda, and EMR. My expertise includes crafting complex SQL queries, creating ingestion frameworks for Data Lakes from diverse sources, and developing ETL processes in AWS Glue for seamless data loading. Proficient in performance tuning, I have optimized queries, implemented map cache properties, and parallelized components for enhanced efficiency. Additionally, I have extensive experience with AWS services such as S3, DynamoDB, Redshift, and Snowflake, contributing to successful data warehouse loading and migration projects. Skilled in Python scripting and Spark applications using PySpark, I have developed custom UDFs and performed benchmark tests for data extraction, transformation, and aggregation. My ability to create visually appealing dashboards and reports in Tableau and Power BI enables effective communication of complex data insights. As a collaborative team player, I am adept at working on diverse projects involving data analysis, modeling, pipelining, and reporting, delivering valuable solutions to meet business needs.

Hyderabad, Telangana, India

Experienced and detail-oriented data engineering professional with a proven track record of collaborating with Business Analysts to effectively represent business domain details. I possess hands-on expertise in data integration, utilizing tools such as Greenplum, Sqoop, Kafka, and Oozie for tasks ranging from incremental loads to real-time data imports. My proficiency extends to writing MapReduce jobs, optimizing HDFS utilization, and implementing custom encoders for Kafka. I excel in working with diverse data sources, employing tools like Hive, Pig, Flume, and Spark for ETL processes, transformations, and analysis. With a strong background in database management, version control using GIT, and connecting visualization tools like Tableau to AWS, I bring a comprehensive skill set to the development and optimization of Hadoop ecosystems. My proactive approach includes the creation of test cases, seamless execution of enhancement rollouts, and valuable support to application teams, ensuring efficient data handling and reporting capabilities.