Summary

Francis John Picaso is a Senior Engineering Manager with extensive technical expertise in data architecture, business intelligence (BI), data warehousing, and data engineering. He has a proven track record of leading diverse teams, collaborating with cross-functional stakeholders, and driving innovative data solutions in global organizations like Oracle, Willis Towers Watson, Wells Fargo, and Shell.

He specializes in:

Data Engineering Leadership: Managing teams across different regions to deliver scalable and efficient data solutions.

Data Warehousing & BI: Designing and implementing data warehouses and BI solutions for large enterprises, with a focus on improving data quality, storage efficiency, and reporting capabilities.

Machine Learning & Generative AI: Applying advanced AI and machine learning techniques to enhance analytics offerings.

Software Development: Developing end-to-end data solutions, including ETL processes, OLAP cubes, and machine learning services, with expertise in Python, SQL, and modern web frameworks like Django.

In addition to his leadership roles, Francis has hands-on experience with database administration, data quality governance, and performance optimization, making him a well-rounded technical leader.

Skills

Domains

Data Warehousing
9/10
Data Engineering
8/10
Business Intelligence
8/10
Data Architecture
9/10
Data Science, ML, AI and Generative AI
7/10
Deep Learning
6/10
Data Governance
6/10

Programming Languages and Frameworks

Python
8/10
Tensorflow
7/10
Django
7/10
Flask
6/10
TSQL
9/10
PL/SQL, Oracle SQL
7/10
Powershell
6/10

Azure

Data Factory
8/10
Databricks
6/10
SQL Database/SQL Server
9/10
Analysis Services/Tabular Models
9/10
ML and AI Services
7/10
Synapse/Fabric
7/10
Functions
7/10

Oracle Cloud Infrastructure

Autonomous Data Warehouse
7/10
Oracle Data Science
6/10
Oracle ML/AI Services
7/10
Oracle Gen AI Services
7/10

Data Visualization

Power BI
7/10
Dundas BI
5/10
Oracle Analytics Server/Cloud
8/10
d3.js
6/10
plotly.js
6/10

CI/CD

Azure Automation
6/10
Azure DevOps
5/10
Github Actions
6/10
Terraform
5/10

Certifications

Oracle

2024 Generative AI Professional

View Credential

Data Science 2022 Certified Professional

View Credential

2023 Certified Architect Associate

View Credential

Machine Learning using ADW 2022 Associate

View Credential

Coursera

Deep Learning Specialization

View Credential

Generative Adversarial Networks

View Credential

TensorFlow Developer

View Credential

Microsoft

Azure Fabric Engineer Associate

View Credential

Azure Data Scientist Associate

View Credential

Azure AI Engineer Associate

View Credential

Work Experience

2022 - Present

Sr. Engineering Manager, Oracle Data Engineering, Data Warehousing, BI


At Oracle, I led a geographically dispersed team of data engineers, QA engineers, and BI engineers, collaborating closely with the data architecture and infrastructure teams to design and implement analytic solutions tailored to the Construction and Engineering Business Unit customers. In this role, I partnered with product managers, data scientists, and analytics leaders to effectively prioritize, plan, and manage workflows. I spearheaded the establishment of the Analytics team in Manila, which expanded Oracle's analytics capabilities. My leadership responsibilities spanned across release management, defect management, scrum activities, as well as people and performance management. Additionally, I created proof of concepts using Oracle Analytics Server and Oracle Analytics Cloud, focusing on advanced features like machine learning and Generative AI.

Data Engineering Management Python OCI ADW OAC LLMs Generative AI

2017 - 2022

Data and BI Architect, Willis Towers Watson Data Warehousing, BI, Database Administration


As a Data and BI Architect, I designed and implemented a data warehouse for Compensation Software, managing data for over 1000 clients, each housed in separate databases and refreshed every two hours with as little resources as possible. I also delivered an end-to-end data solution for Employee Engagement Software, integrating machine learning services with OLAP cubes and stored procedures for reporting. Additionally, I spearheaded a table partitioning initiative that saved around 20TB of storage, significantly improving data management. My role also included conducting data science and T-SQL performance training for solution architects and engineers.

Azure SQL Database/SQL Server Data Factory Data Science Power BI Dundas BI Analysis Services Azure

2016 - 2017

Technical Business Analyst, Wells Fargo Consumer Banking, Database and Web Services


In my role as a Technical Business Analyst at Wells Fargo, my main responsibility is translating complex business requirements into actionable technical documentation by creating Functional Design Specifications and Detailed Design Specifications for Stored Procedures, Web Services and ETL pipelines.

Business Analysis Technical Documentation PL/SQL

2016 - 2016

ETL Developer, Manulife Insurance, Data Quality Lead


Created Data Pipelines for the Regional Data Center and performed database administration and database maintenance. As a data quality lead, I Created a Detailed Data Quality Workplan in partnership with the Project Manager which includes Architectural, Functional and Logical Requirements.

Business Analysis Data Quality SSIS TSQL SQL Server

2014 - 2016

BI Developer, Infor M3 Analytics


My main responsibility is on development and maintenance of the Data Warehouse, ETL and creation of OLAP Cubes. I also developed the entire backend operations (ETL, Cubes) for XM Analytics, an internal project that presents employee timesheets in a Report suitable for Management.

SSAS ETL SSIS TSQL Infor BI

2010 - 2014

Technical Specialist, Shell Business Operations Assistant Manager for Data Quality


As a Technical Specialist I engage the Contracting and Procurement Team on how to add business impact to the data quality reports while providing an in-depth analysis of the Data. I developed numerous automation tools in Excel and Access using Visual Basic for Applications which resulted to cost savings.

VBA Oracle SQL MS Excel MS Access SAP MM, SAP PM

Interests

I have a strong passion for exploring various fields within technology and data. My primary areas of interest include:

Machine Learning

Developing algorithms and models that enable computers to learn from and make decisions based on data.

Data Engineering

Designing and building systems for collecting, storing, and analyzing large sets of data efficiently.

Generative AI

Creating artificial intelligence models that can generate new data, such as images, text, or music.

Software Development

Building and maintaining software applications using modern programming languages and frameworks.

Business Intelligence

Analyzing data to provide actionable insights and support decision-making processes.

Data Warehousing

Managing and organizing data from various sources into a centralized repository for analysis and reporting.

Blogs