Sanya Similoluwa
Hello, I am

Sanya Similoluwa

Data Engineer|Data Analyst|BI Analyst
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About Me

Results-driven Data Engineer with over 5 years of hands-on experience designing scalable ETL/ELT pipelines, building cloud data warehouses, and delivering real-time analytics on Google Cloud Platform. Currently at Tanda Tech Solutions, I process 1TB+ of data daily, optimize sql queries for database performance, enforce data governance, and enable predictive modeling for finance and sports science use cases. Proficient in GCP, Azure, SQL, Python, Apache Airflow, Kafka, Snowflake, Power BI, I turn complex raw data into actionable business insights. Certified Google Cloud Professional Data Engineer and Microsoft Azure Data Engineer Associate, I combine technical excellence with strong leadership, problem-solving, and a passion for data-driven decision making.

Personal Information

Full Name

Sanya Similoluwa Opemipo

Phone

+2347066453946

Address

Lagos, Nigeria

Skype

Similoluwa Sanya

Work Experience

Tanda Tech. Solutions LTD

Current
July 2022 – Present
Lagos

Core Strengths

Data Engineering

GCP, Microsoft Azure, ETL/ELT, Shell Scripting, Data Pipeline development, Apache Airflow, Kafka, NoSQL, Spark and Hadoop, MongoDB, Cassandra

Database Management

Database Administration, Database Design, Datatype Formatting, Data Structure, Indexing and User controls, NoSQL, Data warehousing.

Data Analytics

Data mining, Web Scrapping, Data Wrangling, KPI, BI, Data Cleaning, Data Visualization, Dashboard Preparation, Story Telling

Machine Learning

Regression Analysis, Natural Language Processing, Classification and error metrics, SVM, Modelling

Business Analytics

Predictive modelling, Decision Trees, Cluster analytics, Decision models

Software & Tools

Google Cloud PlatformMicrosoft AzureSparkDbeaverClickHousePower BIPython & PysparkMySQLSQLliteProgreSQLMongoDBAWSPowershell & BashDatabricksApache AirflowAnaconda NavigatorVisual Studio CodeMicrosoft ExcelTableau

Portfolio

A curated collection of data engineering and analytics projects

01

Free FX Rates Monitoring App

Built a free, live FX Rates app using vercel, google cloud, PostgreSQL, Supabase

02

School Attendance Data Mart: Incremental ETL Pipeline

Built an automated, incremental ETL pipeline using Apache Airflow and SQLite that ingests daily CSV snapshots into a star-schema data mart. Raw data is fully refreshed, deduplicated in staging via INSERT OR IGNORE, and loaded into dimension and fact tables with daily delta logic based on snapshot dates. The system intelligently appends only the next day's records after the last fact entry, ensuring efficiency and auditability. Overcame SQLite upsert limitations and Windows-Airflow incompatibility using WSL2 for robust orchestration.

03

THE VICTOR OSIMHEN QUESTION: WHICH OF EUROPE'S HEAVYWEIGHTS DOES HE FIT BEST?

This project is aimed at shedding light into the transfer saga surrounding the red hot Nigerian international victor Osimhen, comparing his potential destinations by play style and compatibility.

04

TRANSFER RECORD OF EPL TOP 6 TEAMS (2012/2013 to 2022/2023)

The aim of this project is to shed light into the transfer expenditure of Premier League's Top 6 Clubs and how spending billions of Euros has helped bring success to each club in the last 10 years.

05

2023 EPL Exploratory Analysis

This exploratory analysis looks to take readers through the drama, excellence and disappointments of the 2022 EPL season using insightful charts

06

2022 FIFA WORLDCUP IN 5 MINUTES

This exploratory analysis looks to throw spotlight into the just concluded Fifa Worldcup, ranging from goalscorers to goalkeepers performances

07

Erling Haaland: The Exception

An Exploratory Data Analysis on the impressive performance of the boy wonder, Erling Haaland, after 8 games in the EPL in comparison to other great players in the past seasons. Tools Used Python for Web scraping and data cleaning Power BI for Data Visualization

08

Sentiment Analysis of Tweets on Thomas Tuchel Sack by Chelsea

This project focused on the buzz that surrounded Thomas Tuchel's rather acrimonious sack by Chelsea. The Sentiment analysis was done using Natural language processing. Tools used: Python for web scraping, data cleaning and NLP Power BI for Data Visualization

09

World Life Expectancy Data Analysis and Visualization

This is an interactive dashboard that aimes to help the reader/viewer see the trends of life expectancy using various metrics such as year, country, region or Continent. Tools used: Excel for Data Mining, Python for Data cleaning, Tableau for Data Visualization

10

Scrapping Data from website using BeautifulSoup

Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. In this project, i scraped premier league data from fbref using beautifulsoup.

11

2021/2022 UEFA Champions League Analysis and Visualization

An Exploratory analysis of the 2021/2022 Uefa Champions League Season which saw annual favourite, Real Madrid become champions yet again at the expense of the Merseyside Reds.