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@payalpitale
Experienced Data Engineer specializing in ETL and data infrastructure.
I am an experienced Data Engineer with over 4 years of expertise in designing and optimizing data infrastructure and ETL pipelines. My proficiency in tools such as Python, SQL, Snowflake, Databricks, and AWS/Azure has enabled me to build scalable data solutions that streamline workflows and support analytics and business intelligence needs. I have successfully migrated legacy systems to serverless architectures on AWS, achieving significant cost savings and enhanced performance.
At VIS Technologies, I spearheaded the design and implementation of an end-to-end ETL pipeline that processes over 100 GB of data monthly, enabling real-time reporting and analytics. My work has involved automating data extraction, developing DBT models for data transformations, and deploying containerized solutions using Docker and Azure Kubernetes Service. I am committed to ensuring data accessibility, pipeline reliability, and efficient data processing, which has led to improved data quality and performance visibility.
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Work history, roles, and key accomplishments
VIS Technologies
Feb 2021 - Present (4 years 9 months)
Spearheaded the design and implementation of an end-to-end ETL pipeline processing over 100 GB of data monthly. Implemented incremental data load logic, automated data extraction, and developed DBT models for data transformations, enhancing data quality and processing efficiency. Streamlined cloud infrastructure provisioning and enhanced pipeline observability, ensuring compliance with data protec
Degrees, certifications, and relevant coursework
Master of Science, Data Science and Analytics
2020 - 2022
Specialization in Data Science and Analytics, focusing on advanced data analysis techniques, machine learning, and data-driven decision-making.
Bachelor of Science, Computer Science
2016 - 2019
Specialization in Computer Science, covering fundamental programming, data structures, algorithms, and software development principles.
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