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Parth ChovatiyaPC
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Parth Chovatiya

@parthchovatiya

I build scalable ETL pipelines and cloud data platforms that automate reliable retail and e-commerce data operations.

India
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What I'm looking for

I'm seeking a Data Engineer or Data Platform Engineer role where I can build robust, scalable data infrastructure and automate reliable data workflows.

At Visionet Systems, I engineered an Azure Synapse-to-Microsoft Fabric migration runbook and Python schema-validation scripts that achieved 99% data accuracy across migrated datasets.

I monitor and validate ETL pipelines and scheduled batch jobs across Tidal, Control-M, Dynamics 365, and multi-region environments, maintaining zero SLA breaches. I also investigate Snowflake data gaps across inbound, transformation, and outbound layers to resolve production discrepancies.

I automated employee allocation tracking from more than 30 email templates using Python and SQL validation, reducing manual effort by 80% and connecting results to a live Power BI dashboard.

Earlier as a Data Engineering Intern at Visionet Systems, I built a SQL-powered NLP chatbot using Hugging Face and OpenAI and developed an interactive banking analytics dashboard. I'm Microsoft Certified as a Fabric Analytics Engineer Associate and focused on building robust, scalable data infrastructure.

Experience

Work history, roles, and key accomplishments

VI
Current

Software Engineer - Data Engineer & Analyst

Visionet Systems Inc

Aug 2024 - Present (2 years)

Engineered Azure Synapse to Microsoft Fabric migration runbook and Python-based schema validation scripts, achieving 99% data accuracy. Automated employee allocation tracking from 30+ email templates, reducing manual effort by 80% and connecting output to a live Power BI dashboard.

Education

Degrees, certifications, and relevant coursework

PU

Presidency University

Bachelor of Technology, Computer Science and Engineering (Data Science)

2020 - 2024

Grade: 8.1/10

Pursued a Bachelor of Technology in Computer Science and Engineering with a focus on Data Science, achieving a CGPA of 8.1/10.

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