--- title: "My High Paying Data Engineering Projects Explained" url: https://daily.dev/posts/my-high-paying-data-engineering-projects-explained-6se6kaanm source_url: https://www.youtube.com/watch?v=2OikDCZSPbM type: video:youtube source: "Darshil Parmar" published: 2026-05-31T07:43:23.625Z updated: 2026-05-31T07:54:19.610Z tags: ["aws", "gcp", "data-engineering", "etl", "data-lake"] reading_time: 16 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # My High Paying Data Engineering Projects Explained **[Darshil Parmar](https://daily.dev/sources/darshilparmar)** · 16 min read · 0 upvotes · 0 comments ## Summary A data engineering freelancer shares architecture overviews of real-world projects that collectively earned over $100,000. Projects covered include: an AWS-based on-premise to cloud migration using S3, AWS Glue, Redshift, and Athena; a Data Lake migration integrating Alteryx and Tableau on EC2 with AWS security services; an ML pipeline on AWS SageMaker with feature engineering and model training; and a GCP migration at Wayfair using Kafka, CDC pipelines, DataProc (Spark), and BigQuery. Key insight across all projects: the hardest part is always data ingestion and pipeline strategy, not transformation logic. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#aws](https://daily.dev/tags/aws), [#gcp](https://daily.dev/tags/gcp), [#data-engineering](https://daily.dev/tags/data-engineering), [#etl](https://daily.dev/tags/etl), [#data-lake](https://daily.dev/tags/data-lake) [View this post on daily.dev](https://daily.dev/posts/my-high-paying-data-engineering-projects-explained-6se6kaanm)