Manuela Chadreque

I am a

About

I am a Senior Data Specialist with extensive experience in leveraging diverse data tools to deliver insightful analytics across various industries, including Audit, Aviation and consulting.

Data Engineering & Data Analyst


  • Website: https://manuelachadreque.github.io/
  • Phone: +27 81-012-0361 / +27 67-802-0515
  • City: Sandton, South Africa
  • Degree: Master
  • Email: manuelachadreque@gmail.com
  • Availability: immediate

Experienced Statistician, Data Engineer, and Business Intelligence Developer with over 7 years of expertise in designing and implementing data pipelines, analytics and BI solutions across industries such as aviation, consulting, healthcare, and auditing. Skilled in transforming complex challenges into actionable insights. I have excelled in roles such as data analyst, data engineer and BI developer, collaborating across organizational levels to deliver impactful, efficient, and innovative solutions.
Proficient in tools and technologies including Python, SQL, AWS (S3, Glue, Lambda, Athena, Redshift), Apache Airflow, Apache Spark, Qlik Sense, Power BI, Tableau and SAP BODS. Passionate about delivering innovative, efficient and impactful data-driven solutions that empower businesses to achieve their goals.

Skills

SQL 100%
Python 90%
R 75%
Apache Spark 75%
Power BI80%
Qlik Sense 90%
Tableau 55%

Portfolio

I like to build Analytical Solutions that add value to your business. Below are some projects showcasing my expertise in Data Engineering, Analysis, and Visualization.

  • All
  • EDA
  • Data Engineering
  • Data Science
  • AWS
  • Power BI
  • airflow
  • Qlik Sense

Stock Market data pipeline

The project implements a data pipeline to retrieve financial data from the Yahoo API and display insights on a Power BI dashboard. Using AWS for storage, transformation, and analysis, Apache Airflow orchestrates the pipeline for efficient automation and monitoring.

Skills: AWS (S3, Glue, Athena), Airflow, Power BI

GitHub Repo Power Bi Dashboard

Matric exam papers data papiline: airlfow, aws glue, athena, apache spark

This project focuses on building a robust and scalable data pipeline to process and analyze matric post-exam questions. Using modern data engineering tools and technologies such as Airflow, AWS Glue, Lambda Functions, and Athena, the pipeline extracts, transforms, and loads the question data into a structured format. The pipeline ensures data quality, allows efficient querying, and facilitates actionable insights for education authorities, curriculum developers, and students.

Skills: Azure, Apache Spark, Data Engineering

GitHub Repo

Youtube Data Pipeline project

Conducted exploratory data analysis (EDA) for a retail bank dataset to uncover insights into customer behavior and improve marketing strategies. Presented results in a detailed Qlik Sense dashboard.

Skills: PySpark, AWS S3, Glue, Lambda,Athena

GitHub Repo

Stock Market data pipeline

The present project was developed to implement a data pipeline to restrieve financial data from yahoo api and present insights on a power bi dashboard. we AWs use services for storage, metadata, transformation and insight analysis. the current project presents an end to end solution where airflow poses as an orchestrator of the different components to ensure a seamless data extraction, transformation, and visualization. To orchestrate and schedule the pipeline, we leveraged Apache Airflow, enabling efficient task automation and monitoring.

Skills: AWS Glue, Power BI, Apache Spark

GitHub Repo

Resume

I have a keen interest in researching and exploit diverse solutions for business improvement.

Sumary

Manuela Chadreque

I am a passionate Statistician and Business Intelligence Analyst with transversal skills in Statistics, Analytical with 5+ years of experience designing and developing data solutions.

  • Sandton, Gauteng, South Africa
  • (27) 81-012-0361
  • manuelachadreque@gmail.com

Education

Post Graduation in Business Intelligence

2011 - 2012

Iscte - University Institute of Lisbon

Skills acquired includes data modeling, implementation, and exploration of Data Warehouses, planning and implementation, data mining and project management.

Msc in statistics

2010 - 2012

Faculty of Sciences of the University of Lisbon

This training equipped me with deep problem-solving skills using statistical tools such as univariate and multivariate analysis, statistical Inference, Linear Regression and more.

Bsc in Applied statistics

2005 - 2010

Faculty of Sciences of the University of Lisbon

I came out equipped with knowledge about sampling, data analysis, unidimensional and multidimensional, forecasting, optimization, data structures and algorithms in C, Data Base design and management. linear and integer programming, graph theory, activities planning e CPM.

Professional experience

Data Engineer

2021 - Present

EOH, South Africa

  • Provide data and anaytical support to the internal audit department
  • Development of analytical tools for audits such as fuel, Credit card, HR and Payroll

Data Engineer

2022 - 2022

Emmergent Africa

  • Development of data pipelines and Dashboards using SSIS, SQM Server and Power BI.
  • Developed data solutions to support the SDG, Growth and Customer Centricity for the AECI Group.

SAP Business Objects Developer

2014 - 2017

Ana Vinci Airports, Lisbon, Portugal/em>

  • Develop Finance, Procurement, Marketing Intelligence, Operational BI Solutions
  • Ensured that the correct product is delivered according to business requirements