Sign In

Maayan Gad

Big Data Engineer at Wix.com

Maayan Gad is a Big Data Infrastructure Engineer at Wix, a prominent technology company known for its website building platform. In this role, she focuses on developing and maintaining scalable data infrastructure solutions that support the company's vast array of services.

Background and Expertise

  • Education: Maayan holds a degree in Computer Science, equipping her with a strong foundation in software engineering and data management.
  • Professional Experience: Before joining Wix, she gained valuable experience in various tech roles, particularly in big data analytics and cloud computing. This background enables her to effectively handle large datasets and optimize data processing workflows.

Current Role at Wix

At Wix, Maayan is involved in:

  • Data Architecture: Designing systems that efficiently manage and analyze large volumes of data.
  • Collaboration: Working closely with cross-functional teams to ensure that data solutions align with business needs and technical requirements.
  • Innovation: Continuously exploring new technologies and methodologies to improve data handling capabilities.

Maayan's expertise in big data infrastructure is crucial for Wix as it continues to expand its services and enhance user experiences through data-driven insights.

Highlights

Mar 21 · linkedin

Did you know that data quality issues can impact your business's operations, strategy, and reputation?

As a data engineer at Wix, I've seen firsthand how running quality tests on tables regularly—and before they enter your DWH—can be a game-changer for your business, minimizing post-deployment debugging efforts and ultimately supporting better decision-making processes.

If you haven't done it before, here are a few tips to get you started:

➡ Establish data quality metrics: Define key data quality metrics relevant to your business, such as accuracy, completeness, consistency, and timeliness. These metrics will serve as benchmarks for assessing and monitoring the quality of your data.

➡ Define table types and corresponding tests: Categorize your tables based on their characteristics, usage, and importance to the business. Common table types may include raw data tables, staging tables, dimension tables, and fact tables. Once you've categorized your tables, determine which data quality tests are most relevant and impactful for each type.

➡ Choosing the right platform: Select a data quality platform that scales, integrates seamlessly, and offers comprehensive features like rule-based checks and performance reliability. This ensures optimal data quality management that’s aligned with your defined table types and testing needs.

Want to chat more? On April 3rd, I’ll be taking part in Data Queens ✨Data Engineering Workflows and Deployment Strategies✨ meetup talking more about Data Quality at scale. Message me if you're planning to go!

Link to the event in the comments.

Related Questions

What projects has Maayan Gad worked on at Wix?
How did Maayan Gad transition into a career in big data infrastructure?
What are Maayan Gad's key achievements in the tech industry?
What skills does Maayan Gad specialize in?
How can I connect with Maayan Gad on LinkedIn?
Maayan Gad
Maayan Gad, photo 1
Maayan Gad, photo 2
Add to my network

Location

Israel