Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic

Trinadha Kumar Achanta

Manchester,New Hampshire

Summary

Results-driven Cloud Data Engineer with 6 years of experience in designing and implementing cloud-based data management systems, data pipelines, and ETL processes. Proven track record in building highly scalable and secure data solutions on cloud platforms, particularly AWS and Azure. Expertise in Data Governance, Data Mesh architecture, and handling sensitive data following HIPAA guidelines. Strong communicator and collaborator with a knack for optimizing data performance and ensuring compliance with data governance policies.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Engineer

Verizon
Basking Ridge, USA
11.2023 - Current
  • Designed and implemented Kubernetes-based containerized infrastructure for data processing and analytics, improving data processing capacity by 20%
  • Developed data connectors to extract data from social media APIs using Python and Apache Kafka Connect, integrating them into robust data pipelines
  • Led the creation and automation of job flows using Apache Airflow on EMR and EC2 clusters, optimizing data workflows by 30%
  • Collaborated with cross-functional teams to architect cloud-based data solutions on AWS and Azure, ensuring high availability and performance
  • Conducted regular system performance assessments and implemented optimization strategies, reducing costs by 15%

Azure Data Engineer

Selective Insurance Group, Inc.
Branchville, USA
03.2023 - 10.2023
  • Developed and maintained ETL pipelines in Azure Data Factory to handle data integration from various sources, including Azure SQL and Blob Storage
  • Optimized EMR cluster launch and Hadoop job processing by 60%, enhancing system stability and data processing efficiency
  • Configured Spark Streaming to ingest real-time data from Kafka and stored it in Azure Data Lake for analysis
  • Implemented Python automation tools to improve monitoring and notification systems, increasing operational efficiency by 25%

Data Engineer

Ford Motor Company
Chennai, India
09.2020 - 11.2022
  • Designed and deployed ETL pipelines using Kubernetes and Docker for real-time data integration, significantly reducing data processing time
  • Built scalable data solutions using Azure Data Factory, Synapse Analytics, and Databricks to streamline data transformation and storage processes
  • Developed Python-based automation for data analysis, enabling rapid decision-making for Capital Analysis and Review
  • Led technical design sessions to integrate data from various on-premise and cloud data sources, enhancing data accessibility by 40%

Data Engineer

Ujjivan Small Finance Bank
Bangalore, India
02.2019 - 08.2020
  • Conducted data analysis and profiling using SQL on Oracle, Netezza, and Teradata to ensure data quality and consistency across systems
  • Developed complex SQL queries and ETL processes using Informatica PowerCenter for data migration and integration projects
  • Migrated SSIS packages from SQL Server to Informatica for data cleansing and transformation, improving data pipeline efficiency by 30%
  • Worked closely with business and development teams to validate data and create data models, ensuring alignment with business requirements

Education

Master's - Computer Science

New England College
Henniker, NH, USA
01.2018

Skills

  • Cloud Data Management (AWS, Azure)
  • Data Mesh & Decentralized Architectures
  • Data Governance & Security Policies (HIPAA)
  • ETL Development (Informatica IICS, Airflow)
  • Data Warehousing (Snowflake, Redshift)
  • Big Data Technologies (Spark, Kafka)
  • CI/CD Pipeline Automation (Jenkins, Terraform)
  • Programming Languages (Python, SQL, Java)
  • Cross-Functional Collaboration & Leadership
  • Cloud Platforms: AWS (S3, RDS, EC2, IAM, Glue), Azure (ADF, Synapse, Databricks)
  • Big Data & ETL Tools: Apache Spark, Kafka, Hadoop, Informatica (IICS), Apache Airflow
  • Data Warehouses: Snowflake, Redshift, Azure Synapse Analytics
  • Programming: Python, SQL, Java
  • CI/CD & DevOps: Jenkins, Terraform, Docker, Kubernetes
  • Data Governance: Data Quality Frameworks, Data Privacy (HIPAA)
  • Operating Systems: Linux, Unix, Windows

Websites

Certification

  • AWS Certified Solutions Architect - Associate
  • Microsoft Certified: Azure Data Fundamentals
  • Snowflake Certified Data Engineer

Timeline

Data Engineer

Verizon
11.2023 - Current

Azure Data Engineer

Selective Insurance Group, Inc.
03.2023 - 10.2023

Data Engineer

Ford Motor Company
09.2020 - 11.2022

Data Engineer

Ujjivan Small Finance Bank
02.2019 - 08.2020

Master's - Computer Science

New England College

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Trinadha Kumar Achanta