Sepand Hani

I am an accomplished data engineering leader with extensive experience in navigating the complexities of data management. With a proven track record in overcoming diverse challenges, my expertise is ensuring impeccable data quality and optimizing data-related workflows. Throughout my career, I have demonstrated a commitment to driving innovation and efficiency in data engineering. My focus ranges from designing robust data pipelines to addressing intricate data issues. I bring a wealth of knowledge and a passion for excellence to every project. Join me in harnessing the power of strategic data management, where experience converges with innovation to unlock the full potential of your data.

Data Collaboration and Clean Rooms

Data Clean Rooms - Revolutionizing Data Collaboration

We’re in an unprecedented era for data collaboration. As businesses strive to unlock new value through data, there’s a growing focus on leveraging modern solutions like data clean rooms and expanding data partnerships. This shift is no longer limited to marketing; it’s now transforming a wide range of industries by streamlining analytics and fueling machine learning.

Challenges with DBT Tests in Practice

Introduction: Many users of dbt are familiar with its tests, which play a crucial role in ensuring data quality during development. However, practical challenges often arise, impacting the effectiveness of these tests and leading to potential data quality issues.

The Role of Data Product Managers and why/when you need them

The Role of Data Product Managers and why/when you need them. In the era of advanced data technologies, companies invest heavily in data warehouses, data lakes, and proficient data engineering teams. Surprisingly, many executives remain in the dark about properly utilizing their data assets – unaware of who is using the data, its products, and its overall value to the organization.

Navigating the Challenges of a Data Engineer's Journey

As a data engineer, the behind-the-scenes work often goes unnoticed, with successes attributed elsewhere and challenges laid at your doorstep. The compensation might be substantial, but the struggle lies in the lack of acknowledgment and the constant need to prove your worth.

Archetypes of Data Roles

Understand the requirements

Finding the right fit for your goals can be challenging in the vast landscape of data roles. Aiming for a “good data person” won’t cut it because the data field isn’t a one-size-fits-all scenario. To make informed hiring decisions, start by defining your specific data needs.