Venkata V Email & Phone Number

Berkeley Heights, New Jersey, United States

In my recent role at L'Oréal, I was involved in a transformative project aimed at modernizing and optimizing their data infrastructure to support advanced analytics and data-driven decision-making processes. I worked on Python scripts to interact with Delta Live Tables and Delta Sharing APIs, facilitating seamless integration of real-time data processing and collaborative data sharing functionalities within the Databricks environment. Additionally, I worked on Teradata for large-scale data integration, ensuring efficient data storage and retrieval, which contributed to the overall success of the project. This initiative aligned with L'Oréal's strategic objectives to leverage data as a strategic asset, improving both operational efficiency and decision-making capabilities.

Alpharetta, Georgia, United States

At Fiserv, I specialized in cloud infrastructure management and developed and optimized Python-based ETL pipelines on Databricks, utilizing Apache Spark and Delta Lake technologies to enhance data transformation processes and significantly reduce batch processing times. I also worked extensively with Teradata, optimizing data extraction and integration processes for large-scale enterprise datasets. Additionally, I contributed to project management and deployment, focusing on automating deployment processes and improving system performance and scalability

Atlanta, Georgia, United States

Worked on data infrastructure and analytics, focusing on Snowflake, Python, and Django for ETL pipelines and data modeling. Used python within the Databricks environment to automate data cleansing and preparation tasks, implementing machine learning models that improved predictive analytics accuracy. I developed connectors for Snowflake and Postgres, and optimized data processing Azure Cloud Services. Leveraging multi-cloud strategies, I deployed Spark and Scala code on Hadoop cluster, handling real-time data streaming with Spark and Kafka. Additionally, I managed data migration projects, developed API services in Azure, and automated deployment processes using Python and Jenkins. My experience spans various technologies including Hive, Sqoop, AWS and Azure services, Spark, Kafka, and Hadoop, contributing to efficient data handling and analytics solutions.

India

At Logran Technologies, I specialized in developing data pipelines and analytics solutions using big data technologies including Apache Hadoop, HDFS, MapReduce, Hive, and Pig. I led the implementation of real-time analytics pipelines using Confluent Kafka, Storm, Elastic Search, Splunk, and Greenplum, enhancing data processing capabilities. Additionally, I designed and developed Informatica BDE applications and Hive queries to transform and ingest data for reporting layers, facilitating consumption through Tableau. My expertise extends to UNIX shell scripting, XML parsing, and optimization of SQL and Informatica mappings for efficient data handling. I have a strong background in Java and J2EE application development, with experience in database design, RESTful API development, and MVC design patterns. Throughout my tenure, I played a key role in maintaining Apache Hadoop clusters, troubleshooting system failures, and implementing various projects in Java.