Data Science Engineering

WORK HISTORY

Teacher’s assistant (voluntary work) / St John the Baptist Catholic School,

Roodepoort, GP / 02.2013 – 12.2014

Developed and taught lessons on relevant children's books and themes to promote student’s interest in mathematics and science. Account Administrator and developer (remote) / Inkfish Digital Marketing, Ireland / 04.2019 – 12.2019

Updating and creating web pages (WordPress) and email newsletters.

Ensuring clients are briefed on monthly website performance and social media or newsletter performances.

Updated backends for various client websites using Django and Flask.

Developed documentation for team adaptation.

Conducted SEO and UX auditing of websites.

Social media marketing intern (remote) / My Perfect Financial Advisor, Connecticut, USA / 02.2020 – 11.2020

Creating and updating Facebook posts.

Social media analytics research.

WordPress web development.

Cloud Developer / Pax Divitiae, Midrand, South Africa / 10.2021 – 02.2023

Google Workspace migrations – IMAP and Microsoft 365 to Google Workspace (change management, GWMME, Data Migration Service).

Google Cloud data engineering workload deployments (Compute Engine, Pub/Sub, Dataflow, Dataproc, BigQuery, GKE, App Engine, Vertex AI). SKILLS

Strong work experience with

Python programming, Google

Cloud architecting, AWS

solutions architecting, and Google

Workspace administration.

Experience with Flask API

development and the Django

framework.

Strong working knowledge of

Compute Engine and EC2 server

workload deployments.

Strong organizational skills.

Advanced critical thinking.

Strong working knowledge on

data management and

engineering on both AWS and

Google Cloud.

Excellent Linux administration

skills (Ubuntu and CentOS).

LYNN THULISWA CHABVONGA

+276******** Sherwood Complex, 6th Rd, Noordwyk, Midrand, 1687 ********@*****.***

PROFESSIONAL

SUMMARY

Software Engineer with excellent analytical skills and enjoys working as part of a team. I am a driven software engineer with a versatile number of skills in software development, data engineering, and data science, which enables me to meet deadlines and quickly resolve issues.

WORK HISTORY

(cont.)

Lead Software Engineer / Pax Divitiae, Pretoria, South Africa / 03.2023 – 12.2023

On-prem to cloud migrations (GCP and AWS)

Serverless deployments (Django, Node, React, Cloud Functions, Lambda, Step Functions and, CloudFormation)

CI/CD pipeline monitoring and maintenance (CodeCommit, CodeBuild, Code Pipeline, Integration tests)

Data engineering pipeline deployments (EMR, AWS Glue ETL, Kinesis Firehose, Kinesis DataStream, Redshift, Trifacta Dataprep, BigQuery, Vertex AI and, AWS SageMaker).

BI dashboarding (Athena, Looker, Looker Studio).

Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.

Grow engineering teams by interviewing, recruiting, and hiring.

Delegate duties and tasks within the Technical Team.

Review completed tasks to ascertain compliance with standards.

Perform periodic risk assessments and initiate risk control strategies. Data Analyst / Trilogy, Texas, USA / 10.2023 – present

Data Analysis and Querying:

o Utilising BigQuery for querying and analysing large datasets efficiently.

o Performing complex data transformations and aggregations on big data sets.

Database Administration:

o Managing databases on Google Cloud Platform:

Cloud Spanner for horizontally scalable, globally distributed databases.

Cloud SQL for managed databases, including SQL

Server and MySQL.

Data Visualization:

o Creating interactive visualizations and dashboards using Tableau and Looker.

o Translating complex data insights into understandable visual formats for stakeholders.

Machine Learning and AI:

o Utilizing Google Cloud's Vertex AI for developing and deploying machine learning models.

o Building and optimizing machine learning pipelines to automate data processing and model training.

Additional Responsibilities:

o Performing data cleaning, integration, and validation to ensure data quality and integrity.

o Collaborating with cross-functional teams to understand data requirements and delivering actionable insights.

o Staying updated with industry trends and best practices in data analytics and machine learning.

University of South Africa (UNISA) – Pretoria, GP

Bachelor of Science: Applied Mathematics and Statistics [January 2020 – 2024 (1st Class Pass – 78.9%)].

Amazon Web Services (AWS)

AWS Certified DevOps Engineer – Professional [July, 2023]

AWS Certified Machine Learning – Specialty [March, 2023]

AWS Certified Developer – Associate [April, 2023]

AWS Certified Cloud Practitioner [November, 2022] Google Cloud

Google Cloud Professional Architect [November, 2021]

Google Cloud Professional Data Engineer [June, 2023]

Google Cloud Professional Cloud Database Engineer [June, 2023]

Google Cloud Professional Google Workspace Administrator [July, 2023]

Institute of Electrical and Electronics Engineers (IEEE) Computer Society

Certificate of IEEE Membership

Microsoft (Edx) [March 2019]

Professional Certificate: Enterprise Software Development.

Advanced C++

Kaggle [March 2023]

KaggleX BIPOC Mentorship Program

DataCamp [April 2018]

Quantitative Analyst (R programming).

National Senior Certificate (Matric) [November 2012]

Three distinctions (Mathematics, Life Science and Life Orientation). Knowledge Network Information Technology (N4) [November 2012]

Passed with distinction (Excel, PowerPoint, Access and PowerPoint). EDUCATION AND

CERTIFICATIONS

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