You will get a Robust, Scalable, and Reproducible Spark + Delta Lake Data Pipeline
Project details
Robust, batch-oriented data pipeline using Apache Spark (PySpark) and Delta Lake to process large-scale data. The project implements the Medallion Architecture (Bronze, Silver, Gold) to transform raw, messy data into high-value business insights while ensuring strong data integrity and reproducibility guarantees using ACID-compliant Delta Lake tables.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 2 | |
Number of Scenarios | 1 | 2 | 3 |
Number of Model Variations | 0 | 1 | 2 |
Model Documentation | |||
Data Source Connectivity | - | ||
Model Validation/Testing | - | - |
About Erick
Data Engineer
Kitale, Kenya - 1:16 am local time
I containerize my workflows with Docker and bind mounts to ensure local backup, reproducibility, and seamless onboarding. I emphasize governance with Delta time travel, VACUUM, and audit history, and document every step for collaborative use and GitHub visibility.
Whether you need clean ingestion, business-ready aggregations, or a pipeline that others can reproduce and extend, I bring strategic foresight, hands-on precision, and a commitment to technical excellence.
Steps for completing your project
After purchasing the project, send requirements so Erick can start the project.
Delivery time starts when Erick receives requirements from you.
Erick works on your project following the steps below.
Revisions may occur after the delivery date.
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Build reproducible pipeline with Bronze, Silver, and Gold layers using Spark + Delta Lake