At Sifflet,
Data Means Business.

Data drives every strategic decision, guides innovation, and powers transformation. But how do companies ensure their data is reliable? How can they trust the insights that guide critical business choices? How do they turn raw information into actionable intelligence, high-performing products, and superior strategies? Enter Sifflet.

Who We Are

We are a data observability platform.
We offer end-to-end oversight into the entire data stack, helping teams to uncover, prevent and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.

Our Mission

We help companies see data breakthroughs. Sifflet delivers smoother running data stacks by providing detailed oversight and solutions that reduce data breaks, improve team alignment and operations, and build confidence in the numbers. The result? Superior insights, value and products from data.

Meet our Executive team

Sifflet was built by a data-obsessed team for
data-obsessed teams.

We’re Hiring!

Chief Executive Officer

Salma Bakouk

Salma Bakouk, Co-founder and CEO of Sifflet, combines expertise in data pipelines and analytics with leadership honed as an Executive Director at Goldman Sachs. Salma is dedicated to building trust in data for her clients and advancing Sifflet’s position in the industry.

Chief Product Officer

Wissem Fathallah

Wissem Fathallah, Co-founder and CPO of Sifflet, is a seasoned tech executive with a background in computer science from Centrale Paris. He has led high-impact engineering teams and built scalable data solutions at companies like Uber and Amazon. Wissem is passionate about new technologies, data and AI infrastructure, driving Sifflet’s mission to deliver reliable and actionable data insights.

Chief Technology Officer

Wajdi Fathallah

Wajdi Fathallah, Co-founder and CTO of Sifflet, is a data and technology leader with a background in data science and a focus on scaling innovative solutions. He has held key roles at companies like Dashlane, SNCF, and Crédit Agricole, driving machine learning initiatives and revenue growth. Wajdi is committed to helping businesses unlock the full potential of their data through observability and operational excellence.

Join Our Team

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Frequently asked questions

What impact did Sifflet have on fostering a data-driven culture at Meero?

Sifflet’s intuitive UI and real-time data observability dashboards empowered even non-technical users at Meero to understand data health. This transparency helped build trust in data and promoted a stronger data-driven culture across the organization.

What exactly is data quality, and why should teams care about it?

Data quality refers to how accurate, complete, consistent, and timely your data is. It's essential because poor data quality can lead to unreliable analytics, missed business opportunities, and even financial losses. Investing in data quality monitoring helps teams regain trust in their data and make confident, data-driven decisions.

How do I ensure SLA compliance during a cloud migration?

Ensuring SLA compliance means keeping a close eye on metrics like throughput, resource utilization, and error rates. A robust observability platform can help you track these metrics in real time, so you stay within your service level objectives and keep stakeholders confident.

How does Sifflet support SLA compliance and proactive monitoring?

With real-time metrics and intelligent alerting, Sifflet helps ensure SLA compliance by detecting issues early and offering root cause analysis. Its proactive monitoring features, like dynamic thresholding and auto-remediation suggestions, keep your data pipelines healthy and responsive.

What tools can help me monitor data consistency between old and new environments?

You can use data profiling and anomaly detection tools to compare datasets before and after migration. These features are often built into modern data observability platforms and help you validate that nothing critical was lost or changed during the move.

What’s next for data observability at Sifflet?

We’re focused on solving the next generation of challenges, like hybrid environments, end-to-end data lineage tracking, and scaling data trust. Whether it's batch data observability or real-time pipeline monitoring, our mission is to help organizations build resilient, transparent, and future-proof data stacks.

Can I use the Fivetran integration to monitor data pipeline health?

Absolutely! By surfacing connector statuses and metadata directly in the lineage graph and catalog, Sifflet helps you stay on top of pipeline health and detect issues early. It's a powerful step forward in proactive data pipeline monitoring.

How can Sifflet help ensure SLA compliance and prevent bad data from affecting business decisions?

Sifflet helps teams stay on top of SLA compliance with proactive data freshness checks, anomaly detection, and incident tracking. Business users can rely on health indicators and lineage views to verify data quality before making decisions, reducing the risk of costly errors due to unreliable data.

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Still have questions?

Want to join the team?

We're seeking driven individuals eager to roll up their sleeves and help make data observability everyone's business.

Join Sifflet

At Sifflet, Data Means Business.