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Data Engineering Foundation – Module 4

July 20 @ 15:00 - 17:00 SMT


DATE : 20th July 2024 , TIME : 3 PM SGT to 5 PM SGT

The Certified Signature Programs represent a suite of educational offerings tailored by the dedicated volunteers of She Loves Data, who are not only professionals but also seasoned practitioners in their respective fields. Designed to cater to a diverse range of learners, from beginners eager to learn to seasoned tech professionals looking to sharpen their skills, our programs offer comprehensive insights into the ever-evolving tech landscape.

Upon successful completion of the program, participants will demonstrate their proficiency by achieving at least a 70% score on assessments. To recognize their accomplishment, certificates will be issued through CertifyMe, an advanced Digital Credential Management Software. CertifyMe is committed to enhancing credential visibility and authenticity and proudly supports She Loves Data in its mission to empower more women in the field of data and technology.

This rigorous standard maintains the certification’s prestige, ensuring it stands as a respected symbol of the participant’s acquired expertise.

About : 

The Data Engineering Foundations Program encompasses the fundamental skill set required for Data Engineering. The module is for beginners; however, it is advisable that attendees have a basic understanding of SQL.

Module 4 of our Signature Program
Data Warehouses are an old concept but they are here to stay – it is necessary for every Data Engineer to know the principles of their design so they can successfully: maintain existing infrastructure, migrate and refactor legacy systems to the cloud, design, develop and deploy new warehouses on new cloud platforms.

As part of this workshop, we will be explaining

  1. The concept of a Data Warehouse
  2. Dimensional modeling
  3. Steps for designing a Data Warehouse
  4. Available online workshops for Data Warehousing.


Speakers :

Adam Kumbalica

Data Analyst – Australian Institute of Company Directors

Self-educated Data Analyst with a strong focus on Data Engineering. I enjoy working in Databricks (SQL, PySpark, and Python). Experienced in Azure Data Factory, Azure Logic Apps, Qualtrics, and Power BI. In my “previous (pre-Covid) life “: IRATA Level 3 technician with many years of running construction projects requiring rope access, elevated work platforms, confined space, rigging, etc.


Devi Vijayakumar

Manager, Data Analyst APAC – Footlocker

As an Analytics Manager APAC at Foot Locker, I lead a team of data analysts to provide data insights for the Asia Pacific region. I have over six years of experience in retail and supply chain analytics, working with leading companies such as FairPrice Group and NTUC Link. My core competencies include database analysis, Snowflake Cloud, Azure Databricks, and data modeling. I have also obtained Google Online Marketing and Excel Power Pivot certifications to enhance my skills and knowledge. I am passionate about solving business problems with innovative and efficient technical solutions, and I aim to deliver value and impact to Foot Locker and its customers.

By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data.   Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.


Q. Is it free to join?

A. Yes! Participation is free, but slots are limited, so please register early!

Q. Can I join from anywhere in the world?

A. Absolutely! This is a global online event. You can join from any part of the world.

Q. Is it only for women?

A. Just like our regular She Loves Data events, this online webinar is open, to everyone irrespective of gender.

Q. Is this an interactive discussion or just a ‘listen-in’ webinar?

A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the polling and live Q&A portions at the end of the discussion.

Q. What if something comes up and I need to retract my registration?

A. If you can’t join the online meetup, let us know at least a day before and we’ll be able to offer your spot to someone else on the waitlist. Please email us at and we’ll help.



July 20
15:00 - 17:00 SMT
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