The 7 AI Tools I Use Daily as a Data Team Leadcloudwala

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Introduction and Team Overview: Prem introduced themselves and their role as the head of a data engineering team of 20 members. They discussed their experience with SQL migration, cloud solutions, and mentoring team members.
AI Tools for Data Engineering: Prem highlighted the importance of AI tools in 2025, mentioning that tools like clouds, GitHub Copilot, and others are game changers for productivity in data engineering.
Cloud Tool Usage: Prem explained how they use cloud tools to review code submitted by junior engineers, saving up to one or two hours daily and improving pipeline reliability by 20%.
GitHub Copilot: Prem discussed the benefits of using GitHub Copilot for repetitive coding tasks, which helps in completing SQL queries and smart transformations, reducing coding time by 40%.
Tableau for Data Visualization: Prem described how they use Tableau for generating charts and dashboards during standups, which helps in risk analysis and empowers the team by reducing query time by 50%.
Data Robot for AutoML: Prem talked about using Data Robot for automating ML pipelines, which speeds up prototype development by 3X and helps in model building and hyperparameter tuning.
Norsen for Task Management: Prem shared their experience with Norsen for organizing daily notes, creating milestones, and assigning tasks, which boosts organization by 30%.
Additional Tools: Prem mentioned other useful tools like task managers, time trackers, and AI-supported systems for daily and weekly planning.
Conclusion: Prem concluded the meeting by thanking the participants and inviting them to follow up on their article.
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Thank You: Prem thanked the participants for attending the meeting and expressed gratitude for their time and attention.
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Follow-Up: Prem invited the participants to follow up on their article for more detailed information and insights.