AJAI DURAISAMY
Open to work4 years experienceData Engineer
Cloud Data Engineer with 4 years of experience in retail and supply chain.
Standing Rank
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Developer Badges
Skills & Technologies
27 skillsGitHub Activity Evidence
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Work Experience
Assistant Manager – GCC Merchandise Team Lead
Landmark Group
- Owned end-to-end engineering of the Invento (powering ~$600 M in inventory decisions across GCC countries) – architected PySpark pipelines on Databricks Workflows processing 1.6 TB+ of stock, sales, PO, and inter-territory KPIs.
- Designed Stock, Sales, and historical movement data models, implementing SCD Types with automated data quality checks, event aware logic for Ramadan/Eid/promo periods, and out-of-stock risk flags.
- Engineered advanced PySpark and Databricks cost optimizations: skew handling, Delta table layout and optimization, schema evolution, and race condition safe SharePoint to ADLS ingestion.
- Built the pricing data platform powering Markdown (~ 20% of sales uplift for supported categories) – engineered PySpark pipelines on Azure Databricks and Delta Lake.
- Designed automated markdown logic and price lineage tracking, with schema enforcement, reconciliation controls, and Delta Lake pipelines, reducing data latency to live applications by 60%.
- Maintained all pipelines under Git based version control using a modular, parameterized factory pattern; enforced code reviews and controlled promotion between environments.
Data Engineer
Mu Sigma (Analytics Firm)
- Built ADF and PySpark pipelines for the Cost Collector (Finished Goods production) for snacking verticals across Europe, North America, and APAC.
- Developed CDC pipelines powering procurement reporting across 36 global markets for royal canin using ADF event triggers and Azure Logic Apps.
- Implemented Azure DevOps CI/CD for Databricks, integrating notebooks with Git and pytest based unit tests to validate input/output consistency and key business rules.
- Contributed to migration from legacy sources to new data sources for Petcare using PySpark, SQL, and DAG based workflows.
- Engineered emissions calculation pipelines for manufacturing verticals of Europe and North America, mapping material usage to emission factors.
Projects
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Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
SPOT Award at Landmark Group
SPOT Award at Landmark Group: Led end to end GCC merchandising Inventory implementation from concept to production.
Star Performer of the Team (SPOT) Award 3x at Mu Sigma
Star Performer of the Team (SPOT) Award 3x at Mu Sigma: Achieved 100% on time ETL delivery, reduced pipeline errors 20%, improved stakeholder reporting accuracy 15%.
About Details
Professional Bio
Cloud Data Engineer with 4 years of experience building production grade data platforms and DataOps solutions in retail and supply chain. Expert in Python, PySpark, SQL, Azure, Databricks, and CI/CD pipelines.
B.E. Information Technology
Annamalai University (2018 - 2022)