Linda Stanley
Macomb,MI
Summary
Data Engineering and Analytics Executive with experience in building and operating cloud-based data pipelines, ingestion frameworks, and governed analytics solutions across healthcare, retail, and regulated environments. Specializes in developing ETL workflows, sequencing and automating data ingestion, and producing governance-ready documentation to support reliable analytics delivery. Known for translating complex data requirements into analytics-ready datasets and dashboards used by cross-functional teams and leadership for operational and decision support.
Overview
14
14
years of professional experience
5
5
Certification
Work History
Senior Data Engineer, Analytics & Insights
Walgreens
01.2023 - Current
- Provided technical leadership to a 6-member consulting team, supporting ingestion frameworks, governed analytics delivery, and Snowflake-based data engineering for Walgreens Health.
- Developed and sequenced ingestion workflows using Azure Data Factory, Databricks, Python, and Snowflake, improving processing scalability by 30% and accelerating availability of commercial datasets for analytics.
- Created Snowflake architecture documentation, lineage artifacts, and approval diagrams used by the Biopharma Insights & Analytics team to meet governance requirements and reduce rework during reviews.
- Built and maintained datasets by integrating external, on-prem, and flat-file sources, supporting payer-level analytics across multiple reporting workflows.
- Automated provider-level data ingestion using Python and ADF, replacing manual refresh processes with scheduled pipelines and improving data availability for operational reviews.
- Developed reusable ingestion and transformation patterns that were adopted by engineers and analysts to support Streamlit-based dashboards and additional analytics use cases.
Senior Data Engineer
Amazon Web Services (AWS)
01.2022 - 01.2023
- Supported cloud modernization and analytics delivery, focused on code-level migration/refactoring, AWS data engineering pipelines, and decision-support analytics for external client workloads.
- Migrated on-prem relational databases to AWS RDS PostgreSQL through code refactoring, schema migration support, and query optimization, contributing to a large team effort covering ~800-1,000 DB instances/objects.
- Built ETL pipelines and AWS data lakes using Glue, Athena, Lambda, S3, and Postgre; delivered analytics used to assess workload complexity and resource allocation for complex migrations.
- Developed analytics across Postgre, S3, and QuickSight and engineered statistical models that improved decision-making, contributing to 30% cost/revenue impact and ~20% profitability improvement as documented in the raw.
- Integrated external APIs with internal databases for real-time ingestion and validation to maintain data availability and consistency across the platform.
Senior Data Engineer
Apptiv
01.2020 - 01.2022
- Senior individual contributor in Apptiv's Autonomous Driving & User Experience (Active Safety) team, focused on processing autonomous vehicle sensor log data for feature extraction, metadata processing, and safety algorithm evaluation.
- Developed Python data-mining scripts and maintained ETL pipelines for large-scale sensor log processing; analyzed ideal vs non-ideal weather conditions to support simulation scenarios and improve algorithm efficiency by 30%.
- Built and optimized MySQL data repositories and the analytical layer to model sensor and radar driving data; delivered dashboards tracking KPIs for leadership and cross-functional teams.
- Implemented Unix automation scripts to monitor Slurm jobs on HPC systems, identifying memory-related system slowness and improving operational efficiency.
- Mentored junior data engineers and analysts on Python, SQL, and ETL best practices, improving consistency and quality of data processing outputs.
Data Engineer
Trinity Health (HQ Michigan)
01.2019 - 01.2020
- Supported data engineering initiatives enabling system-wide patient admission forecasting, operational reporting, and automated delivery of metrics to executive stakeholders at Trinity Health headquarters.
- Built automated workflows to deliver operational datasets used by finance and executive leadership, eliminating manual data extraction previously handled by regional teams and improving timeliness of reporting.
- Developed SQL-based reporting logic with layered validation and reconciliation rules, improving data trust and reducing discrepancies across centralized metrics consumed at headquarters.
- Integrated raw datasets into operational dashboards by creating reusable, analytics-ready data structures, enabling a 6-8 member business analyst team to access clean datasets without re-building logic for each report.
Database Engineer
Wells Fargo
01.2017 - 01.2018
- Developed and maintained ETL processes supporting Wells Fargo's equipment financing platform, enabling reliable extraction, transformation, and loading of structured data into enterprise data warehouses.
- Created and maintained technical documentation for data pipelines and API schemas to support onboarding and reduce integration delays across internal and vendor teams.
- Implemented data governance rules that improved reporting accuracy and strengthened compliance alignment across teams by approximately 10%.
Application Developer
DTE Energy
01.2014 - 01.2017
- Developed ETL workflows supporting customer service and billing data platforms, ensuring stable and production-ready data pipelines for reporting and operations.
- Worked with cross-functional teams to gather requirements and implement data warehouse structures, including slowly changing dimensions (SCD), to support traceability and reporting needs.
- Supported ongoing data processing and reporting by reducing reprocessing issues and improving reliability of downstream data outputs.
Senior Software Engineer
Infosys
01.2012 - 01.2014
- Contributed as a technical team member on Nike's Demand-Supply Planning initiative by supporting data flows and execution cycles used in merchandising and planning operations.
- Developed ETL and data warehousing solutions for Nordstrom by integrating sales, order, inventory, and customer datasets into analytics-ready structures to support enterprise reporting.
Education
Bachelor's degree - Engineering in Computer Science
Skills
- Data Engineering
- Cloud Data Pipelines & Ingestion
- ETL Development & Automations
- SQL Optimization & Data Modeling
- Analytics Enablement & Reporting
- Data Governance & Documentations
- Cross-Functional Collaborations
- AWS (S3, RDS, Glue, Athena)
- Azure (Databricks, Data Factory, Data Lake)
- Snowflake
- Google BigQuery
- ETL Pipelines
- Data Integrations
- Data Warehousing
- Data Lakes
- Python
- PySpark
- SQL
- PostgreSQL
- Oracle
- Pandas
- Spark
- Tableau
- Power BI
- Qlik
- Streamlit
- Data Analytics
Certification
- Data Engineering Nanodegree: Udacity
- Google Cloud Big Data and Machine Learning Fundamentals: Google
- Generative AI with Large Language Models: DeepLearning.ai
- Foundations of Data Science and Engineering: Harvard University
- Cloud Data Integration with Azure: Microsoft
Affiliations
- MSE-IT, UPenn
- WomenTech Network
- Big Data and Analytics Engineering
Timeline
Senior Data Engineer, Analytics & Insights - Walgreens
01.2023 - Current
Senior Data Engineer - Amazon Web Services (AWS)
01.2022 - 01.2023
Senior Data Engineer - Apptiv
01.2020 - 01.2022
Data Engineer - Trinity Health (HQ Michigan)
01.2019 - 01.2020
Database Engineer - Wells Fargo
01.2017 - 01.2018
Application Developer - DTE Energy
01.2014 - 01.2017
Senior Software Engineer - Infosys
01.2012 - 01.2014
University of Kerala - Bachelor's degree, Engineering in Computer Science