Aldrin Matthew
@aldrinmatthew
Junior-to-entry Data Engineer building ETL pipelines and lakehouse models with Python, SQL, dbt, and Databricks.
IndiaWhat I'm looking for
I’m a Data Engineer with production experience building ETL pipelines, dbt models, and cloud data infrastructure, currently at Xebia. I transform enterprise data at scale for global stakeholders, including transforming SAP S/4HANA data into Google BigQuery for retail inventory analytics.
I’ve built 15+ production-grade dbt models (staging and fact layers) using dbt, SQL, and Python, and I document data lineage and model specifications for clarity and reliability. I also led a data migration consolidating 13 acquired companies into 100+ structured files integrated with Microsoft Dynamics.
To improve both decision-making and automation, I designed and optimized SQL queries and automated ETL workflows in Python to cut manual errors and improve processing efficiency. On the analytics side, I built a Random Forest model that improved employee attrition prediction accuracy by 20% and shipped a Power BI dashboard used to identify 350+ high-risk employees for retention strategy.
Independently, I built a Lakehouse architecture on Google Cloud Storage with Databricks, using medallion architecture, Unity Catalog RBAC, and automated incremental refreshes for retail market-basket analysis. I’m certified (Databricks Data Engineer Associate and Google Data Analytics) and I’m now looking for Junior Data Engineer roles where I can bring pipeline development, dbt/lakehouse architecture, and cloud data engineering experience.
Experience
Work history, roles, and key accomplishments
Developed 15+ production-grade dbt models (staging and fact layers) transforming SAP S/4HANA data into Google BigQuery for retail inventory analytics, using dbt, SQL, and Python; authored Confluence documentation covering data lineage, business logic, and model specifications.
Led data transformation for a global migration project, consolidating data from 13 acquired companies into 100+ structur
Achieved a 20% improvement in employee attrition prediction accuracy by implementing a Random Forest
Regressor model on primary survey data and company records, reducing Mean Squared Error from 0.045 to
0.036 compared to the existing Linear Regression model.
Developed an interactive attrition dashboard for stakeholders, categorizing 350+ high-risk employees based on
key factors such as job satisf
Worked as a mechanical developer with responsibilities focused on commissioning and mechanical testing tasks.
Education
Degrees, certifications, and relevant coursework
Shiv Nadar University
Bachelor of Technology - BTech
2019 - 2023
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Social media
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