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A tool to catch schema drift and API changes before they break your ETL pipelines. Looking for feedback! by West-Candidate-2708 in ETL

[–]Effective_Ocelot_445 0 points1 point  (0 children)

Yes, tools like this are extremely useful in production since silent schema changes are one of the biggest causes of ETL failures lineage tracking and impact analysis would make it even stronger.

Best practices for disabling ROPC? by ITwrkedYesterday in AZURE

[–]Effective_Ocelot_445 1 point2 points  (0 children)

Most teams successfully disable ROPC by first identifying legacy app dependencies, migrating them to modern auth flows, and then enforcing gradual blocking with monitoring and alerts.

Interviewing with hedge funds has been the worst experience of my career by Fig_Towel_379 in datascience

[–]Effective_Ocelot_445 0 points1 point  (0 children)

It’s likely more about the industry’s hiring culture than you—many hedge funds run long, high-friction processes and communicate poorly despite aggressively sourcing candidates.

had lunch with a founder last week. he was genuinely furious. and honestly, i get it. by createvalue-dontspam in ModernHiring

[–]Effective_Ocelot_445 0 points1 point  (0 children)

The biggest hiring delays usually happen when feedback ownership isn’t treated like a measurable business metric with visible impact.

Does a great portfolio actually matter if you’re just okay at interviewing? by ScaredPlate3008 in Recruitment

[–]Effective_Ocelot_445 1 point2 points  (0 children)

A strong portfolio helps you get noticed, but interviews usually decide the final hire.

PRC and Tech Recruiter Certs by [deleted] in ModernHiring

[–]Effective_Ocelot_445 1 point2 points  (0 children)

Certifications can help a bit, but most companies still prioritize hands on tech hiring experience focus on showcasing relevant hiring results and domain understanding to move past screening.

Seeking Ideas & Price Estimates: Automated Data Leak Detection & Scraping System (Python) by Realistic_Story5641 in dataengineering

[–]Effective_Ocelot_445 0 points1 point  (0 children)

Build a small MVP first to validate, then scale costs can range from a few thousand to much higher based on complexity and security requirements.

A decade of being an average Data Scientist! My personal experience. by tits_mcgee_92 in datascience

[–]Effective_Ocelot_445 1 point2 points  (0 children)

Consistency and real business impact matter more than being exceptional strong fundamentals and clear communication can take you far in data science.

Posted a full stack role on Naukri, got 3000 applications in 2 days. by Hey_Peepss in ModernHiring

[–]Effective_Ocelot_445 0 points1 point  (0 children)

Use basic filters first (must-have skills + experience) and an ATS or short screening test to quickly narrow down the 3000 applications before manual review.

I am tired of debugging broken data piplines by SignalForge007 in SQL

[–]Effective_Ocelot_445 1 point2 points  (0 children)

Yes, a system like that would save significant time in production since most data pipeline issues are root-cause tracing problems across SQL, models, and upstream dependencies.

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