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Data Engineer

Executive Summary & Candidate Overview

With a solid foundation in big data technologies and extensive experience in data engineering roles, Ezhilarasi is well-equipped to drive data-driven solutions and optimize Spark jobs in GCP environments. Their ability to design, implement, and automate data pipelines, coupled with proficiency in SQL, Spark, and data modeling, underscores their value as a data engineer.

Accomplishments and Key Performance Indicators (KPIs)

Ezhilarasi's accomplishments span optimizing Spark jobs, developing ETL solutions, and implementing generic frameworks for data collection and validation. Their hands-on experience with GCP, AWS, and Hadoop ecosystems, combined with expertise in Hive, Spark SQL, and Scala, highlight their ability to deliver scalable and efficient data solutions.

Location and Travel
  • Open to: On-Site, Hybrid, and Remote Roles.

  • Remote Roles: Open to discussing remote opportunities based on the specific position and requirements.

  • Compensation Seeking: Open to Review Upon Booked Meeting.

  • Position Seeking: Data engineering roles focusing on big data technologies, Hadoop ecosystems, and cloud platforms.

Work Experience

Big Data Developer/Data Engineer Verizon Technologies - TX, April 2022 to Present

  • Spearheaded ETL solutions for data ingestion, cleansing, and business rule execution in GCP.

  • Developed code with various transformations using Hive SQL and Spark Scala.

  • Optimized Spark jobs and designed data pipelines for efficient data processing.

  • Proficient in Hive/SQL queries, Spark transformations, and performance tuning.

  • Provided production support and root cause analysis for technical issues.

Data Engineer AT&T - Dallas, TX, January 2019 to March 2021

  • Engineered automated data pipelines using Spark, Hive, and AWS S3 for client data loading.

  • Developed ETL pipelines for batch and streaming data processing with Spark SQL.

  • Designed and implemented data pipelines leveraging Spark clusters and Glue for transformations.

  • Conducted benchmarking between Hive and SparkSQL for performance evaluation.

  • Proficient in Hive performance tuning, Hive DDLS, and UDF development.

Data Engineer Zubaid InfoTech - Chennai, Tamil Nadu, December 2016 to November 2018

  • Built and managed data warehouse systems in Hortonworks Hadoop environment.

  • Managed data ingestion from diverse sources and developed Hive queries for data analysis.

  • Implemented performance improvement techniques in HIVE for efficient data access.

  • Proficient in data transformation and export using Sqoop and Linux file system.

Senior Developer Siri Data Services Private Ltd, March 2015 to November 2016

  • Designed and modified components using Java & J2EE technologies for business logic.

  • Developed SQL scripts, stored procedures, and triggers for database interactions.

  • Involved in database design and data warehousing based on OLTP requirements.

Developer Siri Data Services Private Ltd, January 2012 to February 2015

  • Interacted with clients for requirements gathering and solution design.

  • Configured JDBC connections and developed SQL scripts for database operations.

  • Developed web applications using Java, JSP, and Servlets for end-to-end testing and deployment.

Asst.Professor/Senior Lecturer/Lecturer (Additional Experience)

  • Managed academic plans, student performance monitoring, and faculty recruitment.

  • Guided final year student projects and conducted technical conferences and workshops.

  • Handled subjects in computer science and served on various academic committees.

  • Master of Engineering in Computer Science

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Background Check (Upon Request)
Team & Role Fit Analysis (Upon Request)
Plan to Meet Objectives (Upon Request)
Relationships & Financials (Upon Request)

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