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Manan Vadaliya

@mananvadaliya

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Data and cloud engineer delivering scalable, cost-efficient real-time pipelines and analytics solutions.

India

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What I'm looking for

I seek roles building scalable, real-time cloud data pipelines and analytics platforms, focused on performance, cost optimization, and automated CI/CD environments.

I am a Data and Cloud Engineer experienced in building scalable, near real-time data pipelines and reducing operational costs through efficient architecture and deduplication strategies. I have implemented Pub/Sub- and Dataflow-based ingestion, optimized BigQuery usage to save significant monthly costs, and migrated analytics pipelines from Universal Analytics to GA4.

I design and deploy production-grade systems using Google Cloud (GKE, Cloud Run, Dataflow, BigQuery) and CI/CD (GitHub, Cloud Build), build FastAPI services for self-serve tooling, and develop Airflow pipelines with structured logging and deduplication. My work focuses on performance, cost optimization, and operational efficiency for analytics-driven products.

Experience

Work history, roles, and key accomplishments

Current

Data and Cloud Engineer

Current

Tatvic Analytics

Jan 2024 - Present (1 year 9 months)

Built and optimized near real-time data pipelines processing ~250M events/day, reducing latency by 30% and cutting BigQuery slot usage by 80% to save ~₹2.5 lakh/month; implemented Pub/Sub/Dataflow ingestion at 30k reqs/sec and refactored queries to cut runtimes from 1.5 hours to 20 minutes.

BigQuery Pub Sub Dataflow dataform Airflow GKE Python CI CD

Education

Degrees, certifications, and relevant coursework

Ahmedabad University

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Grade: 7.5/10

Completed a Bachelor of Technology in Computer Science and Engineering with a focus on cloud and data engineering; graduated with a GPA of 7.5/10 in May 2024.