Summary
I am an enthusiastic and motivated Data Analyst and Engineer with a passion for transforming data into actionable insights. Proficient in Python (Pandas, BeautifulSoup, Matplotlib), SQL, ETL pipeline optimization, and data visualization tools like Power BI, Tableau, and AWS QuickSight, I am constantly learning and expanding my skill set. I specialize in leveraging cloud technologies, including AWS Glue, Athena, Azure Synapse, and Databricks, to build scalable and automated solutions. With expertise in MySQL, InfluxDB, and CI/CD tools like Jenkins, I have successfully optimized workflows, automated data processes, and developed interactive dashboards. My experience includes working with time-series data, creating advanced data cleaning processes, and delivering solutions that drive efficiency and improve business outcomes. I thrive on tackling complex challenges with a results-oriented mindset and am committed to growing as a data professional every day.
Education
Conestoga College - Electronics Systems Engineering, B.Eng.
Professional Experience
Automation Engineer - MDA Space - Montreal, QC
- Developed Python scripts leveraging the atlassian-jira library to automate updates for misassigned tasks and
inaccurately titled subtasks, enhancing project tracking accuracy by 75%.
- Conducted thorough unit testing for both C# and Python scripts using Pytest, ensuring high-quality code.
- Developed a script to detect duplicate Confluence templates, integrated with Jenkins for automated alerts,
showcasing proactive problem-solving skills.
- Managed various IT tasks including creating specialized Draw.io templates, resolving tickets, and advocating for
software updates, increasing Engineering efficacy by 30%.
- Maintained comprehensive documentation on Confluence, fostering transparency and collaboration within the team
Data Engineering Consultant - Adastra Corporation - Markham, ON
- Developed code in Azure Databricks Notebook, with a focus on Scala, enhancing data processing capabilities by 25%.
- Utilized Azure Data Factory to ingest various data types into RAW Bronze, streamlining data workflows by 65%.
- Detected and processed files with extensions like JSON, Parquet, and encrypted formats (PGP, GPG) using Scala.
- Populated tables with SQL scripts for comprehensive testing and validation.
- Conducted failure analysis by checking error logs and input/output logs, identifying root causes and implementing
solutions, improving the team's efficacy by 75%.
- Raised and documented bugs for issues encountered during testing, contributing to continuous improvement, and
raising DevOps preparedness by 25%
Embedded Systems Software - Ciena - Ottawa, ON
- Acquired and applied expertise in Docker products for containerization and efficient software deployment.
- Performed Linux system administration and Bash scripting for automation, streamlining development processes.
- Managed virtual machines to create isolated testing and development environments
Software Developer Co-op - Maerospace - Waterloo, ON
- Managed InfluxDB data insertion and extraction, boosting Operations team's time-series data management by 30%.
- The development of Bash scripts significantly enhanced data management efficiency by 60% by streamlining data
loading between text/CSV files and databases.
- Utilized CherryPy API and integrate Python scripts with data servers, enhancing data management processes and
enabling the learning of cURL commands.
Safety/Security Development Co-op - Blackberry/QNX - Ottawa, ON
- Engineered Regression Testing with PyTest suite in Python 3, improving test efficiency by 20%. Managed and executed automated test suites using Jenkins, ensuring continuous integration and delivery of high-quality software.
- Installed and configured recreations of software production environments to allow testing of software performance, enhancing software reliability by 15%.
Skills
Data Analysis Skills
Languages:
Python (Pandas, Seaborn, Matplotlib, Plotly, Panel Panes, OpenLM, BeautifulSoup)
Data Analysis:
MS Excel (Pivot Tables, VLOOKUP, XLOOKUP, Functions, Conditional Formatting, Dashboards)
Databases:
InfluxDB, SQL (MySQL)
Visualization & Reporting:
Microsoft Power BI, Tableau, AWS Quicksight, Google Looker
Testing & Data Validation:
Data Normalization, Data Cleaning
Project Management:
SCRUM, Agile, Atlassian Confluence, JIRA
Cloud:
Amazon (S3, Athena, Glue, Quicksight), Microsoft Azure (Data Studio, Data Factory, Synapse)
Pipeline Tools:
CI/CD, Jenkins
Version Control:
Git, Github, Gitlab, SVN
Other Skills & Tools:
Parquet, JSON, CSV, Scala
Certifications
- Data Analyst Bootcamp - Alex The Analyst - January 2025
- Learning Excel: Data Analysis - Linkedin Learning - Dec 2024
- Google Cybersecurity Foundations - Coursera - June 2023
- Data and Health Indicators in Public Health Practice - Johns Hopkins University, Coursera - Ongoing
Hobbies
My Photography Website 📸