Shilpa Vernekar

Inside Sales Assistant at Ameya Holding Limited - AMEYA360

Karnataka, India
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Summary

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Shilpa Vernekar is a versatile technology professional with over nine years of experience blending data engineering and inside sales, currently supporting Ameya Holding Limited as an Inside Sales Assistant while retaining a strong engineering background from Wipro. She has 5.6 years of hands-on experience developing and maintaining data warehousing solutions using Ab Initio, DMExpress/Syncsort, SnapLogic, and has worked with Teradata, PL/SQL, Hive, Redshift and AWS services. Comfortable moving between technical delivery and client-facing status reporting, she combines requirements analysis, robust high-performance coding, and workflow automation via shell scripting and Autosys. Her profile reflects a practical grasp of cloud and Hadoop ecosystems and an ability to translate complex backend processes into clear updates for onsite stakeholders. Trained with an MCA in Computer Software Engineering, she brings a rare mix of deep ETL tooling expertise and customer-facing coordination.
code4 years of coding experience
bookMaster of Computer Applications - MCA, Computer Software Engineering, FCD, Master of Computer Applications - MCA, Computer Software Engineering, FCD at Visvesvaraya Technological University
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Github Skills (24)

pii10
data-governance10
data-quality10
data-validation10
athena10
python10
snowflake10
data-science10
metadata10
reconciliation10
data-management10
dbt10
data-lineage10
automation10
data-profiling10

Programming languages (1)

TypeScript

Github contributions (5)

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ShilpaVernekar/OpenMetadata

Sep 2022 - Jun 2024

Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
Contributions:151 pushes, 2 branches in 1 year 9 months
discoverplacedata-managementpythondata
open-metadata/OpenMetadata

Dec 2021 - Sep 2022

OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
Contributions:36 reviews, 148 commits, 72 PRs in 9 months
pythondatadata-observabilitycollaboratedata-catalog
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