
Patricio Lozano
Verified Expert in Engineering
Database Developer
Maple Grove, MN, United States
Toptal member since December 6, 2024
Patricio is a database developer with 10+ years of experience in consulting and data analytics for clients in the health, automotive, services, manufacturing, and food industries. He has tailored projects for companies like Coca-Cola, Cargill, and Nemak. Patricio's recent engagements involve developing data infrastructure using Singer, Python, AWS, and Data Build Tool (dbt), implementing sales, inventory, and operations planning strategies, and designing KPI frameworks across multiple areas.
Portfolio
Experience
- Data Analytics - 10 years
- Microsoft Power BI - 8 years
- Tableau - 8 years
- SQL - 7 years
- Data Build Tool (dbt) - 5 years
- Amazon Redshift - 5 years
- Python 3 - 5 years
- dbt Cloud - 3 years
Availability
Preferred Environment
MacOS, Microsoft Power BI, Tableau, SQL, Amazon Redshift, Data Build Tool (dbt), dbt Cloud, Data Analytics, Tableau Desktop, ETL Tools, Dashboards
The most amazing...
...thing I've developed from scratch is a real-time production control and reporting user interface for manufacturing process control.
Work Experience
Analytics Engineer | Data Architect
Mosaic Data and Analytics
- Designed and implemented a new data architecture for a healthcare insurance administrator, with the objective of setting the basis for self-service analytics using star schemas.
- Leveraged dbt (data build tool) to setup base, transformation, and reporting layers.
- Ensured data quality and accuracy by implementing source, transformation, and reporting tests that can be monitored using Elementary (plug-in for dbt).
- Led the design of new data models, bringing together more than five different source systems (claims, enrollment, ERP, and third-party app data).
- Designed the key process indicators along with a product team. Developed dashboards using the dbt reporting layer for data consumption and Tableau for data visualization.
- Decreased 90% of time spent on data integration, analysis, and presentation by offering automated, scalable, and reusable datasets.
- Implemented and maintained dbt core in EC2 server and scheduled daily runs in Lambda AWS.
Analytics Engineer
Mosaic Data and Analytics
- Developed a demand planning forecasting tool managed by Marketing, Finance, and Sales. The sales forecast used the Holt-Winters Algorithm to account for time series and seasonality.
- Contributed to forecast with no collaboration, achieving more than 80% accuracy with high acidity.
- Performed data analysis based on forecast and sales history. Created dashboards and reports for different business areas, reducing analysis time from weeks to hours.
Business Intelligence Manager
Exertus Consulting
- Designed and developed KPI reports for multiple clients.
- Analyzed new information swiftly in a time-critical environment, showcasing adeptness in handling rapid data assessments.
- Served as the primary liaison for data analysis and quality assurance, ensuring all client presentations were meticulously reviewed and refined before delivery.
Senior Management Consultant
Exertus Consulting
- Worked with clients to identify business problems and create solutions based on process, technology, and people.
- Developed an inventory management solution for a food industry client that allowed them to increase service levels above 90% and reduce inventory value by more than $1 million.
- Provided guidance on how to set up a material resource planning module in SAP. Workflows were automated, which led to better decision planning.
- Designed and implemented an inventory tracking solution (categorizing inventory, creating bills of materials, and adding cost analysis) that allowed for better planning and data analysis for decision-making.
- Moved quickly between clients and understood their processes and technologies. Not all clients used the same ERP, so I had the opportunity to work with SAP, Oracle, JD Edwards, and QuickBooks.
Experience
Logistics Data Infrastructure
• Connecting it to five different data sources.
• Understand how data relates to each data source.
• Utilizing AWS Lambda to schedule data extraction runs, dbt cloud for data transformation, AWS Redshift as a relational database, and Power BI for embedded analytics.
Dashboard Processing Time Reduction
This reduced their dashboard processing time from five days to a few minutes.
Demand Planning Forecast
I created a forecasting model using a time series algorithm (Holt-Winters) that considered seasonality, product replacements, and trend analysis to obtain a 12-month forecast that improved accuracy from 70% to 85%.
The model used a 24-month weekly sales history at the SKU/client level, and a script deployed in AWS ran once a week to generate a forecast. That same forecast was later collaborated by sales, finance, and marketing to include any changes in expected demand to create an integrated business plan (IBP) shared with manufacturing and procurement.
Skills
Libraries/APIs
Tableau API
Tools
Microsoft Power BI, Tableau, Microsoft Excel, Tableau Desktop, Microsoft Access, Power BI Desktop, dbt Cloud, Google Sheets, Git
Languages
SQL, Excel VBA, Visual Basic for Applications (VBA), Python 3, Python
Paradigms
Business Intelligence (BI), ETL, Dimensional Modeling
Platforms
MacOS, Alteryx, AWS Lambda
Other
Data Build Tool (dbt), Business Analysis, Business Requirements, Data Analytics, Data Visualization, Data Engineering, Web Dashboards, ETL Tools, Dashboards, Data Analysis, DAX, Amazon Redshift, Stakeholder Management, Excel Macros, Data Architecture, Data Warehouse Testing, Excel Expert, Inventory, SAP ERP, Enterprise Resource Planning (ERP), Inventory Management
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