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Data Science With Sam Podcast Transcripts

Soumava Dey · 50 episodes with transcripts

This is an educational podcast focused on bringing academia and industry experts together in a common forum and initiate discussion geared towards data science, artificial intelligence, actuarial science and scientific research.

Spoken has transcripts of 50 Data Science With Sam episodes, with the speakers named. The newest listed here is from September 21, 2026.

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Every Data Science With Sam transcript in one script

50 episodes of Data Science With Sam have transcripts. Fetch them all as speaker-labeled Markdown in one script — 1 credit each, and re-fetching one you already have is free:

archive.sh
curl -s -H "x-api-key: YOUR_KEY" \
  https://spoken.md/podcasts/1587954336/episodes \
  | jq -r '.episodes[] | "\(.id) \(.title)"' \
  | while IFS=' ' read -r id title; do
      slug=$(echo "$title" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/-*$//')
      [ -f "${id}-${slug}.md" ] && continue
      curl -sf -H "x-api-key: YOUR_KEY" \
        -o "${id}-${slug}.md" \
        https://spoken.md/transcripts/$id || rm -f "${id}-${slug}.md"
      sleep 0.34
    done

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Latest Data Science With Sam transcripts

EP 50: Evolution of Enterprise Data Engineering in Gen AI Era

September 21, 2026

Soumava Dey (1:00)

The teams right now are running two parallel worlds, a legacy ETL system that's holding the business together, and a modern cloud platform that's supposed to replace it, but hasn't quite yet.

The gap between those two worlds is where data engineering actually lives today. And today's guest has been navigating that gap across three of the most demanding domains in enterprise data.

Shashank Akinapalli (2:26)

Thanks, Tom, and thanks for giving me this opportunity to introduce myself today.

Soumava Dey (2:33)

So let's start with the migration problem, because I think this is the reality for the majority of the enterprise data teams right now facing. It's not a green field, but the legacy modernization.

So, Shashank, you have worked with IBM DataStage at Enterprise Skill, and now lead Spark-based pipeline modernization at UNFI. What's the biggest architectural shift you make when migrating a legacy ETL system to a modern lake house, and what breaks most often during the transition that nobody wants you about? And…

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Any Data Science With Sam episode comes back as Markdown with the speakers named, one credit each.

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  https://spoken.md/transcripts/1000790864920

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