Shola Dada, Developer in Lagos, Nigeria
Shola is available for hire
Hire Shola

Shola Dada

Verified Expert  in Engineering

Bio

Shola is a senior data engineer with over five years of experience in banking, finance, advertising, and media. His expertise revolves around designing robust data pipelines and data warehouses on-prem and cloud. Shola is highly skilled in several out-of-the-box ETL/ELT tools, such as ODI, SSIS, and Talend, and is fluent in SQL, Python, and PySpark.

Portfolio

Intelfort
Power Automate Cloud Flow, Azure, Azure Synapse, Azure Storage...
Syngenta
SQL, SQL Server Reporting Services (SSRS), SSRS Reports, Dashboards...
Ringier
PySpark, Foundry, Data Lineage, Ontology Framework, Data Engineering, Spark SQL...

Experience

  • SQL - 7 years
  • Oracle - 5 years
  • PL/SQL - 5 years
  • Data Warehousing - 5 years
  • Data Engineering - 4 years
  • Azure Data Factory (ADF) - 3 years
  • Python - 3 years
  • PySpark - 2 years

Availability

Full-time

Preferred Environment

Anaconda, SQL, PL/SQL, Oracle, PostgreSQL, Azure Data Factory (ADF), MySQL, Python, Talend, PySpark

The most amazing...

...pipeline I've designed is a rule-based profiling pipeline engine that prequalifies customer salaries for mobile loan applications.

Work Experience

Artificial Intelligence and Business Intelligence Specialist

2024 - 2024
Intelfort
  • Designed and deployed data pipelines for a chatbot using Azure Synapse.
  • Orchestrated and deployed workflows using Power Automate to integrate data input for an AI chatbot.
  • Reviewed the data maturity for several clients and helped benchmark potential growth areas, leading to a conversion of two of the clients.
Technologies: Power Automate Cloud Flow, Azure, Azure Synapse, Azure Storage, T-SQL (Transact-SQL), SQL Server 2019, Microsoft Power BI, Microsoft Copilot Studio, Excel 365

SSRS Reports Developer

2023 - 2024
Syngenta
  • Developed and deployed new reports according to the specifications of Figma templates.
  • Tracked and fixed bugs using Jira as a reporting tool.
  • Redesigned, optimized, and deployed over 25 dashboard reports that accommodated more workloads and report TAT.
Technologies: SQL, SQL Server Reporting Services (SSRS), SSRS Reports, Dashboards, Microsoft Power BI, PostgreSQL, Data Analysis, GIS, Microsoft Report Builder, DAX, Amazon Web Services (AWS), Data Visualization, Excel 365

Data Engineer

2022 - 2023
Ringier
  • Developed and improved an ontology object, namely a data dictionary that monitors all relevant attributes in the advertising section.
  • Tracked and fixed bugs in the pipelines. Conducted analysis using Jira.
  • Integrated a new data source, Yieldlove, into the enterprise data warehouse.
  • Participated in the GAM (Google Ad manager) migration.
Technologies: PySpark, Foundry, Data Lineage, Ontology Framework, Data Engineering, Spark SQL, Spark, Python, Data Preparation, Pipelines, Data Analysis, Amazon Web Services (AWS), Data Visualization, Excel 365

Data Engineer and Data Analyst

2019 - 2022
UBA Group
  • Designed a rule-based profiling pipeline that prequalified income earners for loans, ramping to over 10 billion Nigerian nairas within a year of product launch.
  • Created data pipeline APIs and packages for integration with the core banking system. It is the main data API for onboarding new customers on the platform, with over 1 million customers onboarded within two months of launching the product.
  • Designed and automated a compliance streaming data pipeline, with daily data transmissions of over 20 million records, ensuring regulatory compliance.
  • Designed and deployed data pipelines using Azure ADF/ Synapse for customer risk and customer churn model. Averted approximately 75% loss of the predicted churn customers.
  • Designed and migrated low and non-infraction data workload and data pipelines of the data warehouse to Azure.
Technologies: SQL, PL/SQL, Python, SQL Server Integration Services (SSIS), PostgreSQL, Oracle, Azure Data Factory (ADF), Azure Databricks, Azure Synapse, Windows, Anaconda, Spyder, MySQL, Data Structures, Databases, Automation, SQL Server Reporting Services (SSRS), Talend, Microsoft Power BI, Linux, ETL, Dedicated SQL Pool (formerly SQL DW), Azure SQL Data Warehouse, Data Engineering, Data Warehousing, Azure Data Lake, Data Pipelines, Microsoft SQL Server, Data Preparation, Azure, Pipelines, Power Query, Data Analysis, Microsoft Report Builder, DAX, Data Visualization, Oracle PL/SQL, Oracle Apps, Excel 365

Business Intelligence Developer and Analyst

2017 - 2019
Guaranty Trust Bank
  • Managed, maintained, reviewed, and ensured optimal execution of already developed ETL pipelines and workflows and designed new data pipelines and workflows per business needs.
  • Designed dashboards and reports for several business units, measuring several metrics and performance.
  • Managed, maintained, and monitored all business intelligence platforms to ensure 100% uptime availability for users.
  • Revamped and designed data pipelines for migrating the on-premise CRM suite to the cloud.
Technologies: SQL, Oracle, MySQL, PL/SQL, SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), Oracle Data Integrator (ODI), Windows, PostgreSQL, Data Structures, Databases, Automation, Python, Talend, Linux, ETL, Data Engineering, Data Warehousing, Data Pipelines, Microsoft SQL Server, Data Preparation, Azure, Pipelines, Data Analysis, Microsoft Report Builder, Data Visualization, Oracle PL/SQL, Oracle Apps, Excel 365

IT Intern

2013 - 2013
Fast Data Nigeria Limited
  • Managed and maintained the firm's network and ensured the uptime of systems and applications.
  • Provided support for all OMR machines and performed regular tests and checks.
  • Designed and developed graphic walkthrough documentation.
Technologies: Networking, Optical Character Recognition (OCR)

Experience

ClickCredit

A personal loan product for customers with salaries. I designed the data pipeline that harvested and filtered customers and then prequalified their salaries using predefined rules in line with the terms and conditions of the product.

Automated Collection System for UBA and CBN

An automated data collection system for relevant government collections. I designed the extraction package for different collections, such as withholding tax, stamp duty, and NESS, accepted on behalf of the government through several channels.

CBN Industry Data Harmonization

A consolidated transaction collection system aimed at a central repository for regulatory reporting, reconciliation, and audit. I designed a data extraction package that transmitted a select customer's transaction to CBN's intermediary (NIBBS) in the predefined JSON format.

UBA Open Digital Banking Platform

A digital platform that incorporates a 360° view of all customers' e-channel adoption. As the data engineer, I developed the package that integrated with the core banking system and aided onboarding and other additional functionality checks.

Education

2010 - 2015

Bachelor of Science Degree in Computer Science

University of Ibadan - Ibadan, Nigeria

Certifications

DECEMBER 2023 - DECEMBER 2024

Data Engineering on Microsoft Azure

Microsoft

Skills

Libraries/APIs

PySpark

Tools

Microsoft Power BI, Microsoft Report Builder, Spyder, Slack, Spark SQL, Power Query, GIS

Paradigms

ETL, Automation

Platforms

Windows, Azure, MacOS, Anaconda, Oracle, Oracle Data Integrator (ODI), Talend, Azure Synapse, Linux, Azure SQL Data Warehouse, Dedicated SQL Pool (formerly SQL DW), Amazon Web Services (AWS), Power Automate Cloud Flow, Microsoft Copilot Studio

Storage

PL/SQL, SQL Server Reporting Services (SSRS), Data Pipelines, Microsoft SQL Server, Oracle PL/SQL, MySQL, Databases, PostgreSQL, SQL Server Integration Services (SSIS), Azure Storage, SQL Server 2019

Languages

SQL, Python, Scala, T-SQL (Transact-SQL)

Frameworks

Ontology Framework, Spark

Other

Azure Data Factory (ADF), Data Engineering, Data Warehousing, Data Preparation, Pipelines, Data Analysis, Excel 365, Enterprise Resource Planning (ERP), Data Structures, Azure Data Lake, DAX, Data Visualization, Azure Databricks, Networking, Optical Character Recognition (OCR), Foundry, Data Lineage, SSRS Reports, Dashboards, Data Modeling, Data Processing, Oracle Apps

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring