Dynamic Data Engineer with 8 years of experience in orchestrating complex data migrations and developing scalable solutions that significantly enhance operational efficiency.
Expertise in leveraging Google Cloud Platform to design robust ETL pipelines and automate workflows, ensuring optimized data processing and integration.
Proven ability to handle challenges by navigating through complex technical issues and stepping beyond comfort zones to implement innovative solutions.
Committed to continuous learning, staying ahead of emerging trends in AI and cloud technologies to drive impactful results.
Adept at engaging stakeholders, aligning technical initiatives with strategic business objectives, and consistently delivering high-quality, scalable solutions that empower decision-making and foster continuous improvement.
Proven track record of thriving in fast-paced environments, delivering excellence under tight deadlines.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Data Engineer
Google
07.2022 - Current
Led strategic migrations: Directed the design, architecture, and successful implementation of application and data warehouse migrations to Google Cloud Platform (GCP), ensuring high availability and seamless integration.
Built Scalable Data Systems: Designed and developed batch and real-time data pipelines using GCP tools, enabling efficient data processing, transformation, and integration across diverse platforms to meet critical business needs.
Optimized Data Models: Architected and optimized data models to align with product and business requirements, ensuring high performance, cost-efficiency, and scalability.
Delivered robust, production-ready solutions in collaboration with engineering teams, enhancing system integration and proposing new features for platform improvement
AI innovation: Demonstrated expertise in cloud-native technologies, AI, and data engineering, contributing to customer success and the advancement of organizational goals
Developed and deployed generative AI solutions, collaborating with partners to implement cutting-edge solutions tailored to diverse industry use cases
End-to-end development: Partnered with stakeholders to define and translate feature requirements into actionable roadmaps, ensuring delivery aligned with business goals
Data-driven decision-making: Built interactive business intelligence dashboards using Looker, empowering customers with actionable insights to support critical decision-making
Training and enablement: Conducted workshops, bootcamps, and interactive demos on GCP and Looker, streamlining onboarding and enabling customers to leverage cloud technologies effectively
Senior Analyst
Accenture
01.2021 - 07.2022
As a Senior Analyst at Accenture, I demonstrated strong leadership by spearheading the end-to-end migration of a large-scale data warehouse from Hadoop to Google BigQuery, ensuring a seamless transition that enhanced system performance and reduced query processing time by 30%
Leading a team of four members & leveraging my technical expertise, I optimized legacy system functionality by replicating workflows, converting complex Scala code into efficient BigQuery scripts and stored procedures, and improving maintainability
I designed and deployed scalable ETL pipelines and automated workflows using Cloud Composer, effectively orchestrating complex data tasks and reducing operational costs by 40%
My ability to resolve critical data validation issues through root-cause analysis ensured data accuracy and reliability, positively impacting downstream business processes
By tackling complex challenges and presenting technical solutions in client demos, I delivered actionable results, strengthened stakeholder trust, and drove measurable improvements in project outcomes
Engineer II
Datametica
04.2019 - 01.2021
Led successful migrations of complex data warehouses from on-premise systems (Netezza, SAP, Datastage) and cloud platforms (AWS) to GCP, optimizing workflows and ensuring minimal downtime
Designed and implemented modern ETL pipelines by converting legacy BODS and Datastage jobs into BigQuery-compatible code, leveraging GCP tools such as Cloud Composer, BigQuery, and Stackdriver for efficient workflow orchestration and monitoring
Automated critical processes using Python-based cloud functions, significantly reducing manual interventions and enhancing operational efficiency
Collaborated with stakeholders and solution architects to define migration flows and business requirements, ensuring alignment with organizational goals
Mentored team members in GCP best practices, accelerating team proficiency in cloud environments
Successfully optimized query performance and addressed system bottlenecks, resulting in reduced costs and improved processing of large datasets
Associate Engineer
Tech Mahindra
10.2016 - 03.2019
Developed ETL mappings, workflows, and tasks using Informatica PowerCenter to meet business requirements
Collaborated with business analysts to gather and define project requirements, ensuring alignment with client objectives
Identified, troubleshot, and resolved bugs and performance bottlenecks, enhancing system efficiency
Prepared comprehensive technical design documents and specifications for project tasks
Recommended architectural and integration solutions, improving system scalability and performance
Automated routine processes using Shell scripting, reducing manual effort and increasing operational efficiency
Mentored junior team members, providing training on end-to-end project workflows and assisting in troubleshooting