E Likhitha Email & Phone Number

Texas, United States

Newyork, United States

⦁ Designed, developed, and maintained ETL processes using Oracle SQL, PL/SQL, and SQL Loader on Google Cloud Platform (GCP), ensuring efficient data flow and integrity.⦁ Built application and database servers on Google Cloud Platform (GCP) using Compute Engine, created custom machine images (CMIs), and utilized Cloud SQL for PostgreSQL, ensuring scalable and reliable infrastructure.⦁ Conducted deployments and builds on various environments using Jenkins as a continuous integration tool on Google Cloud Platform (GCP), ensuring smooth and efficient deployment processes.⦁ Utilized Python libraries and SQL queries to create datasets, statistics, tables, figures, and charts, and developed various types of data visualizations using Python and Data Studio on Google Cloud Platform (GCP).⦁ Implemented Spark in Dataproc for processing Enterprise Data across the Data Lake in Google Cloud Platform (GCP) System. Constructed Spark apps in Databricks utilizing Spark-SQL for data extraction, transformation, and aggregation from various file formats for data analysis.⦁ Created Data Quality Scripts using SQL and BigQuery to validate successful data load and quality, and leveraged tools for capturing business & technical metadata, data lineage & transformation rules, with an emphasis on building data scorecards on Google Cloud Platform (GCP).

Columbus, Georgia, United States

⦁ Designed, developed, and maintained ETL processes using Oracle SQL, PL/SQL, and SQL Loader, ensuring efficient data flow and integrity.⦁ Built application and database servers using AWS EC2, created AMIs, and utilized RDS for PostgreSQL, ensuring scalable and reliable infrastructure.⦁ Conducted deployments and builds on various environments using Jenkins as a continuous integration tool, ensuring smooth and efficient deployment processes.⦁ Utilized Python libraries and SQL queries to create datasets, statistics, tables, figures, and charts, and developed various types of data visualizations using Python and Power BI.⦁ Implemented Spark in EMR for processing Enterprise Data across the Data Lake in AWS System. Constructed Spark apps in Databricks utilizing Spark-SQL for data extraction, transformation, and aggregation from various file formats for data analysis.⦁ Created Data Quality Scripts using SQL and Hive to validate successful data load and quality, and leveraged tools for capturing business & technical metadata, data lineage & transformation rules, with an emphasis on building data scorecards.

Marietta, Georgia, United States

⦁ Designed, developed, and maintained ETL processes using Oracle SQL, PL/SQL, and SQL Loader, ensuring efficient data flow and integrity.⦁ Utilized Python libraries and SQL queries to create datasets, statistics, tables, figures, and charts. Developed various types of data visualizations using Python and Power BI.⦁ Created Data Quality Scripts using SQL and Hive to validate successful data load and quality. Utilized tools for capturing business & technical metadata, data lineage & transformation rules, emphasizing on building data scorecards.⦁ Implemented Spark in EMR for processing Enterprise Data across the Data Lake in AWS System. Constructed Spark apps in Databricks using Spark-SQL for data extraction, transformation, and aggregation from various file formats for data analysis.⦁ Built application and database servers using AWS EC2, created AMIs, and utilized RDS for PostgreSQL, ensuring scalable and reliable infrastructure.⦁ Conducted deployments and builds on various environments using Jenkins as a continuous integration tool, ensuring smooth and efficient deployment processes.

Hyderabad, Telangana, India

⦁ Proficient in utilizing key components such as Spark, HDFS, MapReduce, and Hive for scalable and high-performance computing solutions.⦁ Designed and implemented real-time streaming solutions within Kafka for effective data processing and analysis.⦁ Demonstrated strong SQL skills across various platforms including MySQL, Hive, and Impala, ensuring efficient querying and manipulation of data.⦁ Utilized a comprehensive set of big data tools including Spark, Sqoop, Kafka, and NoSQL databases like HBase and MongoDB to develop robust data processing and analytics solutions.⦁ Applied hands-on programming expertise in languages such as Scala, Python, and Shell Scripting for developing custom data processing applications and automation scripts, ensuring efficient data processing and management.

Hyderabad, Telangana, India

⦁ As an ETL Developer at OpenTeQ Technologies, I contributed to the modernization of data infrastructure, focusing on optimizing data processes for improved analytics.⦁ Successfully migrated legacy customer and inventory data to Hadoop Distributed File System (HDFS), ensuring seamless transition and improved data accessibility.⦁ Implemented robust data ingestion pipelines using Flume and Kafka for real-time customer interactions, enhancing responsiveness and enabling timely insights generation.⦁ Orchestrated ETL workflows to streamline data processing, leveraging tools like Hive, Pig, and Oozie, resulting in a 40% improvement in data processing efficiency.⦁ Developed interactive dashboards using Excel and SSRS, providing retail executives with actionable insights into sales trends and inventory management, leading to a 20% reduction in excess inventory costs.⦁ Demonstrated significant contributions to business outcomes through improved data processing efficiency, real-time data capabilities, and actionable insights, driving informed decision-making and cost savings.