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Sukhdeep Singh Email & Phone Number
Tech Lead - Data Engineering
at
lululemon
1 work email found
@gapinc.com
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Tech Lead - Data Engineering
Location
Maple Ridge, British Columbia, Canada
Company size
Who is Sukhdeep Singh? Overview
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Quick answer
Sukhdeep Singh is listed as Tech Lead - Data Engineering at lululemon, a company with 11 employees, based in Maple Ridge, British Columbia, Canada. AeroLeads shows a work email signal at gapinc.com and a matched LinkedIn profile for Sukhdeep Singh.
Sukhdeep Singh previously worked as Azure Data Engineer at Lululemon and Data Engineer II at Amazon. Sukhdeep Singh holds Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering, 9.1 from Lovely Professional University.
Company email context
Email format at lululemon
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{first_initial}{last}@gapinc.com
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AeroLeads found 1 current-domain work email signal for Sukhdeep Singh. Compare company email patterns before reaching out.
Profile bio
About Sukhdeep Singh
Experienced cloud data warehouse architect and Business Intelligence Manager with a demonstrated history of working in the retail industry. Expert in AWS, Azure, MSBI, Azure Synapse Analytics, AWS Redshift, AWS Glue, AWS Elastic map Reduce, Azure Databricks, Data warehousing, PL/SQL, Big Data, Spark streaming, Hive, Power BI, Azure Data Factory, Azure functions, Python
Listed skills include Ssas 2008, Ssis, Microsoft Sql Server, Power Bi, and 11 others.
Current workplace
Sukhdeep Singh's current company
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Lululemon
Employees
11
AeroLeads page
8 roles
Sukhdeep Singh work experience
A career timeline built from the work history available for this profile.
Azure Data Engineer
Current
Nov 2023 - Present
Data Engineer Ii
- Worked as Data Engineer II for following: -
- Created AWS Database Migration Service (DMS) based generic ingestion pipeline for Finance Data Lake project. Created EMR based framework for further data cleanup, deduplication, and transformations. Implemented auto.
- Developed a Lambda-based framework to dynamically enable data sharing across three AWS Redshift databases, encompassing over 350 tables. This initiative also involved configuring custom CloudWatch metrics, alarms, and.
- Led the initiative to attain GDPR compliance for Vendor payment related data mart. Analysed over 200 dimension and fact tables to find PII/PCI columns and created dynamic SQL based framework to implement data retention.
- Migrated Redshift based SQL scripts to AWS EMR based Spark SQL code to decrease overall processing time from 8 hours to 30 minutes at 60% lower cost.
Aug 2022 - Sep 2023
Cloud Data Warehouse Architect
- Role – Cloud Data Warehouse Architect, Domain: Subscription/Usage analytics
- Led the migration of an on-premises usage data warehouse to Azure Cloud as a Senior Data Engineer.
- Implemented near real-time ELT pipelines utilizing Kafka, Event Hub, Azure Functions (Python), and Azure Data Factory to ingest streaming data into Synapse at hourly intervals. Migrated 150+ tables from on-prem SQL.
- Designed and optimized Synapse table structures, enhancing data load and retrieval performance through distribution and partition strategies.
- Modernised Azure Functions-based solutions into Spark-based solutions to efficiently handle high data volumes, significantly reducing operational costs.
- Introduced data virtualization in Azure using third party tool Tibco (TDV) in conjunction with Synapse and Azure SQL server.
Jun 2020 - Jul 2022
Manager - Business Intelligence
- Project - Enterprise Data PlatformRole – Manager, Senior Data Engineer, Domain: Retail (Sales, Inventory, Customer data)
- Proactively participated in the development of Enterprise Data Platform for Gap, which emulates as a source for most of the BI projects in cloud using Azure Data Lake, Kafka, Azure Data bricks to handle all complex.
- Automated ADF pipelines to optimize the existing resources and to retire few of the complex SQL SP's by building it in Databricks.
- Created Azure functions based hydration tool to pick up and convert streaming thin events from event hub into thick events.
- Designed data model of Raw, Transformation and Consolidation layers of Enterprise data warehouse for online and stores Sales, Inventory and Forecast data.
- Created Power BI dashboards on top of cloud datasets for Enterprise reporting.Project - Stores Reporting Mobile App – MyInsightsRole – Manager, Senior Data Engineer, Domain: Stores Sales reporting (Sales, Inventory.
Mar 2018 - Jun 2020
Sr Analyst - Business Intelligence
May 2015 - Feb 2018
Aug 2011 - May 2015
Trainee
C.S.I.O
Analytical Instrumentation
Jul 2010 - Dec 2010
2 education records
Sukhdeep Singh education
Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering, 9.1
High School, Non Medical
Guru Amar Dass Public School
FAQ
Frequently asked questions about Sukhdeep Singh
Quick answers generated from the profile data available on this page.
What company does Sukhdeep Singh work for?
Sukhdeep Singh works for lululemon.
What is Sukhdeep Singh's role at lululemon?
Sukhdeep Singh is listed as Tech Lead - Data Engineering at lululemon.
What is Sukhdeep Singh's email address?
AeroLeads has found 1 work email signal at @gapinc.com for Sukhdeep Singh at lululemon.
Where is Sukhdeep Singh based?
Sukhdeep Singh is based in Maple Ridge, British Columbia, Canada while working with lululemon.
What companies has Sukhdeep Singh worked for?
Sukhdeep Singh has worked for Lululemon, Amazon, Factset Systems India Private Ltd, Gap Inc., and Accenture.
How can I contact Sukhdeep Singh?
You can use AeroLeads to view verified contact signals for Sukhdeep Singh at lululemon, including work email, phone, and LinkedIn data when available.
What schools did Sukhdeep Singh attend?
Sukhdeep Singh holds Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering, 9.1 from Lovely Professional University.
What skills is Sukhdeep Singh known for?
Sukhdeep Singh is listed with skills including Ssas 2008, Ssis, Microsoft Sql Server, Power Bi, Ssrs, Hive, Msbi, and Data Analytics.
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