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Data Engineer with 4+ years in Google Cloud Platform & Data Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Google Cloud Certified Professional Data Engineer with 4+ years of experience designing, developing, and optimizing large-scale data platforms on GCP. Expertise in BigQuery, Airflow, PySpark, Dataflow, and cloud migration initiatives. Proven track record delivering enterprise data warehouse modernization, ETL migration, data quality automation, and scalable data processing solutions for clients like Verizon.
Meenakshi Sundararajan Engineering College
Bachelor of Engineering (B.E.)
August 1, 2018 – June 30, 2022
Incedo Inc.
Senior Data Engineer | Verizon Communications
April 1, 2025 – Present
India
SecureKloud Technologies
Associate Engineer
September 1, 2023 – April 1, 2025
India
SecureKloud Technologies
Trainee Software Engineer
September 1, 2022 – September 1, 2023
India
SecureKloud Technologies
Software Engineering Intern
March 1, 2022 – September 1, 2022
India
Google Cloud Certified Professional Data Engineer
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked on diverse projects within large enterprise environments (Verizon Communications), showcasing adaptability to complex organizational structures and business domains (Wireline, Wireless, SSP Sales, Vision Billing, Alice Subscription). The progression from intern to Senior Data Engineer at different companies (SecureKloud, Incedo) indicates a growth mindset and ability to take on increasing responsibilities. The breadth of skills, including some frontend (ReactJS) experience, suggests a versatile individual, though the primary focus is clearly data engineering. The certification in GCP further aligns with a culture of continuous learning and specialization.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with business analysts, data architects, QA teams, and stakeholders, indicating strong teamwork and communication skills. Experience in providing production support, root-cause analysis, and performance tuning demonstrates operational readiness and problem-solving abilities. The development of reusable components and parameterized frameworks suggests an inclination towards maintainable and scalable solutions.