GDPR and Data Privacy Fundamentals
Certification from Data Camp for Course Track completion
GDPR and Data Privacy Fundamentals
This certification helped me understand GDPR, data privacy, and data security from a practical, non-legal perspective. I learned how to think about personal data, risk, and compliant processes in real organizations.
This certification focuses on responsible data use—covering GDPR, privacy principles, and security basics—so I can design and analyze data solutions that respect people’s rights and protect sensitive information.
List of all courses completed
- Understanding GDPR
- Introduction to Data Privacy
- Introduction to Data Security
What can I do with this?
With this certification, I can help teams design and review data practices that respect both regulation and user trust. I understand the core principles of GDPR, what counts as personal and sensitive data, and how rights like access, correction, and erasure affect data work. Alongside that, I’ve learned foundational privacy and security concepts, from minimization and purpose limitation to practical safeguards that reduce risk when collecting, storing, and sharing information.
These courses gave me experience viewing the data science workflow through a compliance and ethics lens. Instead of treating legal and security requirements as an afterthought, I can factor them into each stage: deciding what data to collect, how long to keep it, how to anonymize or pseudonymize it, and how to communicate clearly with users and stakeholders. This perspective helps me frame analyses and products that are not only useful, but also fair, lawful, and transparent.
My next steps are to apply these principles directly in my projects. I plan to review my own datasets and pipelines for privacy risks, document lawful bases for processing, and practice techniques like aggregation and de-identification. Over time, I want to deepen my understanding of international regulations, industry standards, and security best practices, so I can collaborate effectively with legal, compliance, and security teams on data-driven initiatives.
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My Story
From Curiosity to Craft: My Journey in Technology and Analytics
My name is Nuwan Hettiarachchi, and my journey has been guided by curiosity, service, and a strong belief in using technology to create meaningful impact.
I began my professional path working closely with data, systems, and people. Early on, I realized that I enjoyed solving practical problems—especially those where analytical thinking and real-world needs intersect. This led me into data analytics, automation, and software development, where I’ve spent years building tools that improve accuracy, efficiency, and decision-making.
A defining part of my journey has been 10 years of volunteer teaching at a charitable organization. Teaching reinforced my belief that knowledge is most powerful when shared. It strengthened my communication skills, patience, and ability to break down complex ideas—skills that continue to shape how I design systems and collaborate with teams today.
Professionally, I’ve worked across data analysis, reporting, and application development. One notable experience was developing a Human Resources appraisal system over two years using Visual Basic and SQL Server, where I translated business rules into reliable, user-friendly software. Projects like this deepened my appreciation for clean data, thoughtful design, and systems that support people—not just processes.
Over time, my work expanded into Python, SQL databases, analytics, and automation, with a growing focus on data integrity and insight-driven solutions. I enjoy building tools that reduce manual effort, surface meaningful patterns, and enable better decisions.
Outside of work, I value balance and mindfulness. I enjoy hiking, traveling, kayaking, and spending time in nature—activities that keep me grounded and curious.
Today, I’m focused on contributing within data science and analytics–driven environments, continuing to learn, mentor, and build solutions that are practical, ethical, and impactful.
Software Engineer & Data Science| SQL, Analytics, and AI Solutions
Nuwan Hettiarachchi
I bring strong experience in data analytics and data engineering, with a focus on SQL-driven data preparation, data quality, and scalable processing pipelines. My background includes working with large, complex datasets, supporting business intelligence, and applying data governance principles such as profiling, lineage, and documentation. I am known for collaborating effectively across teams to design clear, reliable data solutions that support informed decision-making.
Phone
(604) 256-2432
Surrey BC, Canada