Data Engineer with 4.8 years of experience in the retail domain.
Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Currently working with client team for accelerating their online shopping worldwide by using different tools and platforms that are leveraged to meet the needs of downstream consumer's consumption patterns.
Maintenance of seller portal mainly used by the company and sellers for improving their sales.
Automated batch pipelines and validated end-to-end data flow from source to BigQuery.
Pulling data from Kafka and publishing to hive tables using Scala Spark jobs through google cloud platform and exporting data to Druid Data source.
Cloud Data Engineer
UST
07.2021 - Current
Worked extensively with Walmart through UST on enterprise data engineering initiatives.
Experience in developing end-to-end data pipelines and cloud-based data solutions.
Developed and optimized large-scale data platforms and distributed data processing solutions.
Led a successful Airflow migration project by directing a team to deliver results ahead of schedule.
Hands-on expertise in Apache Spark, Scala, Kafka, Hive, GCP, SQL, Airflow and real-time/batch processing workflows.
Proficient in Agile methodologies with strong debugging, monitoring, and production support capabilities.
Delivered high-quality, trusted datasets for business and analytics stakeholders.
Awarded Rising Star, Shining Star for exceptional contributions.
Was part of platform team consisting of direct interaction with clients and worked in multiple Roles defined to Development, Data migrations, Testing, Production support in various areas
Migrated cloud-based data solutions.
Improved data SLAs by addressing production.
Collaborated with business teams to define workflow requirements and ensure delivery.
Project Name: Airflow Migration
Airflow Migration
07.2021 - 01.2022
Technologies used: Python, GCP, Airflow, SQL
Migrated workflows from legacy systems to Airflow
Built scalable, fault-tolerant DAGs to automate data ingestion and transformation processes on GCP.
Performed detailed validation across systems to ensure data quality and consistency.
Education
Master of Science - Mathematics
Cochin University Of Science And Technology
Kalamassery
03-2020
Bachelor of Science - Mathematics
Christ College Irinjalakuda
Irinjalakuda
03-2018
Skills
Languages: Scala, Python, SQL
Big Data: Apache Spark, Hadoop, Hive, Sqoop, Kafka, Druid
Frameworks: Laminar, Spark SQL
Cloud Platforms: Google Cloud Platform (GCP)
Databases: Informix, MSSQL, Oracle, BigQuery
Schedulers: Apache Airflow, Automic
Version Control & Tools: GitHub, Jira, SuperPutty
OS: Windows
Domain: Retail
Soft Skills: Team Leadership, Communication, Agile Methodology, Problem Solving
DOMAIN EXPERIENCE
Worked extensively in Retail domain with specialization in Finance and Ecomm operations.
Managed end-to-end delivery including development, migrations, testing, and support.
Interacted with clients and third-party teams for requirement analysis and service delivery.