Payal Gandhi Email & Phone Number | Hello, I'm Payal Gandhi, a seasoned Data Engineer with a passion for transforming complex data challenges into scalable and efficient solutions. With a rich background across various domains including finance, healthcare, retail, and technology, I've honed my skills in leveraging advanced data processing and analytics tools to drive business growth and innovation. My technical journey is anchored in my proficiency with Azure's cloud ecosystem, notably Azure DevOps, Databricks, Data Factory, SQL, Python, PySpark, Scala, and data visualization tools like Tableau and PowerBI, enabling me to architect, deploy, and manage robust data pipelines and infrastructure. I thrive in environments that challenge me to learn and grow, leveraging SQL, Python, Scala, and PySpark to cleanse, manipulate, and analyze large datasets, delivering insights that inform strategic decisions. Skills & Achievements: Versatile Data Engineering: Proficient in a suite of technologies (Azure ecosystem, SQL, Python, PySpark, Scala) for robust data solutions. Data Visualization & Analytics: Skilled in using Tableau for insightful data visualization, enhancing decision-making processes. End-to-End Data Processing: Expertise in architecting and executing comprehensive data processing pipelines, from ingestion to insights. Data Lake Leadership: Led the creation of a data lake from 30+ sources, streamlining data availability and analytics capabilities. I welcome connections from like-minded professionals and enthusiasts in data technology. Reach out to discuss collaborations, innovations, or just to exchange ideas on data engineering and analytics.

Payal Gandhi

Hello, I'm Payal Gandhi, a seasoned Data Engineer with a passion for transforming complex data chall...
Langley, British Columbia, Canada

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Payal Gandhi’s Email payal.gandhi@ril.com

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Payal Gandhi’s Location Langley, British Columbia, Canada

Payal Gandhi’s Current Industry Servicetitan

Payal Gandhi’s Prior Industry Concertai | Pacer Financial | Saint Josephs University | Reliance Industries

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Work Experience

Servicetitan

Senior Data & Analytics Engineer

2024-04-01 00:00:00 - Present

Concertai

Senior Data Analyst

2021-09-01 00:00:00 - 2022-09-01 00:00:00

Pacer Financial

Data Analyst

2018-06-01 00:00:00 - 2019-03-01 00:00:00

Saint Josephs University

Graduate Assistant - Tableau

2018-01-01 00:00:00 - 2018-05-01 00:00:00

Reliance Industries

Assistant Manager

2014-06-01 00:00:00 - 2016-07-01 00:00:00

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FAQ About Payal Gandhi

Payal Gandhi is located at
Langley, British Columbia, Canada

Payal Gandhi is a Hello, I'm Payal Gandhi, a seasoned Data Engineer with a passion for transforming complex data challenges into scalable and efficient solutions. With a rich background across various domains including finance, healthcare, retail, and technology, I've honed my skills in leveraging advanced data processing and analytics tools to drive business growth and innovation. My technical journey is anchored in my proficiency with Azure's cloud ecosystem, notably Azure DevOps, Databricks, Data Factory, SQL, Python, PySpark, Scala, and data visualization tools like Tableau and PowerBI, enabling me to architect, deploy, and manage robust data pipelines and infrastructure. I thrive in environments that challenge me to learn and grow, leveraging SQL, Python, Scala, and PySpark to cleanse, manipulate, and analyze large datasets, delivering insights that inform strategic decisions. Skills & Achievements: Versatile Data Engineering: Proficient in a suite of technologies (Azure ecosystem, SQL, Python, PySpark, Scala) for robust data solutions. Data Visualization & Analytics: Skilled in using Tableau for insightful data visualization, enhancing decision-making processes. End-to-End Data Processing: Expertise in architecting and executing comprehensive data processing pipelines, from ingestion to insights. Data Lake Leadership: Led the creation of a data lake from 30+ sources, streamlining data availability and analytics capabilities. I welcome connections from like-minded professionals and enthusiasts in data technology. Reach out to discuss collaborations, innovations, or just to exchange ideas on data engineering and analytics.