Omotola Olasope

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EMEA Analytics Representative at Bloomberg specializing in Equities and Commodities, leveraging a rich background in Data Engineering, Security Intelligence, and Cross-Domain Analytics. Transforming complex market data into strategic insights across finance and technology.

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Projects.

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River Health

Building A River Health Monitoring and Analysis Platform: RivHealth

This project, a proof-of-concept (POC), involved creating a geospatial platform to visualize telemetry data and identify pollution sources. Users can click on any monitoring site to view time series data for water readings and quality metrics. As the data engineer, I built a scalable data platform, connecting to open-source APIs for EDM data, rainfall, groundwater, and river levels. I integrated multiple datasets for comprehensive river health analysis, including data from citizen scientists and water companies.

View the POC Here
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Stock Data Processing

Building Trustworthy Data for Algorithmic Trading

This project delves into the critical role of data quality for algorithmic trading robots. I designed and implemented a robust data pipeline to ensure the models were trained on reliable and accurate data. Read the full story on Medium.

Read More Here
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Stock Data Processing

Building a Streamlined Stock Data Pipeline to PostgreSQL on AWS

In this data engineering project, I built an automated data pipeline on AWS to streamline stock data for select companies! You can read my Medium post where I explained more on: - Extracting & transforming data with Python & pandas - Securely storing it in a PostgreSQL database on RDS - Automating everything with Airflow, Docker & Lambda

Read More Here
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Data Migration

Large-Scale On-Premise to Cloud Data Migration with Aws Cloudformation, File Gateway and Cloudwatch Alarms

This project involved the successful migration of a large organization's on-premise data to the cloud. Leveraging the power of AWS CloudFormation, I created a secure and scalable infrastructure, including: VPC Base: Defined the network infrastructure for deploying resources. Windows Instance: Established an on-premise machine for file server access. File Gateway: Facilitated seamless data transfer from the on-premise network. NFS File Share: Received migrated data in the cloud. CloudWatch Alarm: Triggered alerts for exceeding data transfer thresholds.

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Database/Schema Design

Strategic Database Design And Schema Development For A Sensitive Government Project

I led the comprehensive development of a database, meticulously crafting an intricately connected schema, and weaving together tables for optimal data organization. My focus extended beyond mere structural design — I prioritized data integrity, strategically normalizing the schema to enhance both accessibility and security. This initiative resulted in a resilient and efficient system that seamlessly integrates Online Transaction Processing (OLTP) for real-time data management and Online Analytical Processing (OLAP) for in-depth analysis and reporting.

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Streaming Pipeline

Dynamic Real-Time Streaming Pipeline Architecture

In this project, I restructured a Python script into a dynamic Lambda function, leveraging AWS for the development of a real-time financial data streaming pipeline. The orchestration is handled through an IAM role endowed with Admin privileges, ensuring seamless execution. Key components include the establishment of a DynamoDB table for data storage, the implementation of automated Lambda triggers using CloudWatch, and the incorporation of proactive monitoring through AWS SNS notifications. This optimized architecture on AWS enhances the efficiency and responsiveness of the financial data streaming process.

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Normalisation

Database Normalisation

I transformed a denormalized database into Third Normal Form (3NF), resulting in a reduction in data storage and an improvement in query response time.

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Website

AI Powered Website

Leveraging Python and AWS, I developed a serverless portfolio website with integrated Natural Language Processing (NLP). This technology enables the website to automate personalized email responses by intelligently analyzing user messages. Reach out through the website, and experience intelligent interactions.

View Here
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Python

Python Genetic Code Validation

Using Python, I designed and implemented RNA code validation and complementary strand generation functions, reducing manual validation time and ensuring accuracy in identifying valid RNA codes.

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About Me.

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My experience spans diverse domains including security intelligence, data engineering, finance, equities, and commodities research. This multidisciplinary background allows me to approach complex challenges with unique insights and innovative solutions.

Currently, I serve as an EMEA Analytics Representative at Bloomberg, specializing in Equities and Commodities. I apply my analytics expertise to deliver strategic market insights that drive financial decision-making. Before Bloomberg, I was a Data Engineering Graduate Intern at Sand Technologies, where I supported critical insurance domain projects, optimized river health assessment systems, and developed enterprise data solutions.

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Services.

Data Engineering

Plan, design, and monitor robust and scalable data architectures/solutions to facilitate efficient storage, processing, and movement of data.

Database Management

Administer and optimize databases, ensuring they are well-tuned for performance, reliability, and security.

Data Modeling

Design and implement data models to organize and structure data, ensuring compatibility with analytical and reporting needs.

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If you have any questions or are interested in discussing potential opportunities, feel free to send me an email using the form.

I would also love to hear your thoughts! Leave a comment to share your feedback on my portfolio.

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