Open To Work
Venkateswara R Vallampudi
Senior Data Engineer
Hyderabad
Summary
Results-driven Data Engineer with over 10 years of experience in designing, building, and optimizing scalable data pipelines, cloud-based solutions, and analytics platforms. Expertise includes implementing data pipelines, ETL development, data warehousing, real-time streaming, and navigating big data ecosystems. Proven ability to collaborate with cross-functional teams to deliver actionable insights that drive business growth. Seeking opportunities across Europe to leverage skills in cloud-based solutions and drive innovation in scalable data architectures.
Overview
10
10
years of professional experience
Work History
Senior Data Engineer
Tata Consultancy Services
08.2023 - Current
- Client: London Stock Exchange Group, UK
- Tech Stack: Pyspark, Snowflake, Snowpark, AWS (S3, EC2, RDS, lambda, Cloud watch), Hadoop (HDFS, Hive, Impala, HBASE, Oozie, Zookeeper), Jenkins, Kubernetes
- Migrated legacy on-prem Applications (Trade Performance Reports) to AWS architecture, reducing infrastructure costs. Major contributor in re-writing the applications in AWS
- Designed and implemented scalable Data pipelines to handle data from various sources like Files, API calls and various databases.
- Developed real-time data streaming pipelines using snowflake for data Ingestion
- Enhanced existed API code to be utilized by larger clients
Senior Data Engineer
Mphasis Limited
04.2022 - 08.2023
- Client: JPMC, USA
- Tech Stack: Pyspark, AWS (S3, EC2, Glue, Athena), Hadoop (HDFS, Hive, Tez, HBase), Jules, Oracle, Teradata, Control-M, Unix
- Built and optimized Data pipelines (Spark-Scala) to transfer the data from Oracle to Teradata
- Implemented reconciliation process to avoid manual validations and in turn it reduced manual efforts of 1 hour to 5 minutes
- Improved SQL query performance, reducing reporting runtime from 2 hours to 15 minutes.
- Analyzed the data chucks which are not been utilized by the client and moved it to Glacier
Data Engineer
Optum Global Solutions
07.2020 - 04.2022
- Client: United Health Care, USA
- Tech Stack: Spark-Scala, sparkSQL, Hadoop (HDFS, Hive, HBase), Jenkins, TWS - Scheduler, Unix
- Designed and maintained spark-scala based extracts to generate the business level reports from the data which reside on Datalake. I contributed majorly in this by using Data frames and Datasets to implement the core business logic
- Generated the feeds which will be used by US State Governments officials. Directly worked with vendor to understand the requirements along with BA and Customized the reports / data feed based on the client requirement
- Worked with multiple teams (Mainframe and DB teams) to deliver the output in customer requested formats like standard 834 or Custom 834 formats.
- Maintained cross team collaborations effectively to deliver the things in smoother way
- Conducted data quality checks to ensure accuracy and consistency.
Data Engineer
Capgemini
11.2018 - 06.2020
- Client: DBS Bank, Singapore
- Tech Stack: Pyspark, Spark-Scala, sparkSQL, Hadoop, Airflow, AWS S3, Jenkins, Unix
- Plays a major role in the implementation of Cash in Transit (CIT) project – Pyspark based application which generates the data feed from ATM, BTM and CRS machines to be utilized by data scientist to generate the forecast of these Machines
- Collaborated with Data Scientists and Analysts to deploy ML-ready datasets for predictive models.
- By creating the custom DAGs in Airflow, scheduled these jobs in the server and reduced major manual efforts
- Migrated over 160+ reports from Teradata to PySpark
ETL Developer
United Health Group
07.2015 - 11.2018
- Client: United Health Care, USA
- Tech Stack: DataStage, Talend, Hadoop (HDFS, MapReduce, Sqoop, Hive, HBASE), Unix
- Designed and maintained ETL pipelines using DataStage/Talend.
- Migrated some reports from DataStage to Talend using the big data features in Talend
- Migrated existing DataStage applications to Hadoop based approach (Sqoop- Hive).
- Involved in several POC’s to implement the low cost-based application to migrate the existing application
- Learned multiple technologies like Talend, Hadoop, DataStage to meet the project requirements and to become vital player in the team
- Involved in implementation of DDL and DML scripts to transform Data and populate in data warehouse tables (Fact tables and Dimension Tables)
Education
Masters in Computer Applications -
JNTU
Kakinada09.2014
Skills
- Python, SQL, Scala, Java and Shell scripting
- Spark (Pyspark, Spark-scala, SparkSQL)
- AWS – S3, EM2, EMR, Glue, Athena, Lambda, CloudWatch
- Hadoop - HDFS, Sqoop, Hive, MapReduce, HBase, Oozie, Zookeeper, YARN
- Snowflake, Snowpark, Databricks
- Airflow, Talend, Datastage
- Teradata, Oracle, PostgreSQL, MySQL
- Git Version Control, Maven, SBT
- CI/CD, Jenkins, JIRA, Kubernetes, Docker
- Big data processing
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
swipe to browse
Languages
English
Advanced (C1)
Timeline
Senior Data Engineer
Tata Consultancy Services
08.2023 - Current
Senior Data Engineer
Mphasis Limited
04.2022 - 08.2023
Data Engineer
Optum Global Solutions
07.2020 - 04.2022
Data Engineer
Capgemini
11.2018 - 06.2020
ETL Developer
United Health Group
07.2015 - 11.2018
Masters in Computer Applications -
JNTU
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