Parth Chovatiya
@parthchovatiya
I build scalable ETL pipelines and cloud data platforms that automate reliable retail and e-commerce data operations.
What I'm looking for
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
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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