Buddhika isn't taking new orders for this project right now. Here are some similar projects to explore.
You will get Data Lakehouse Architect | Trino, MinIO, PostgreSQL
Project details
Build a high-perf Data Lakehouse using Trino & MinIO. I automate Postgres archiving to S3, reducing costs by 70% while keeping a unified SQL interface for all your live and historical data.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Localization, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$300
|
Standard
$800
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 1 | 1 | 1 |
Design Customization | - | - | |
Content Upload | |||
Responsive Design | - | - | - |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$250 - $1,500
Additional Revision
+$30
Performance Optimization (Indexing & Partitioning)
(+ 2 Days)
+$200
LDAP / SSL Security Hardening:
(+ 3 Days)
+$200
Automated Data Quality Monitoring:
(+ 3 Days)
+$100About Buddhika
Fullstack Architect Engineer - ELT App Builder (Python ,React)
Malabe, Sri Lanka - 9:52 pm local time
if your dealing with following bottlenecks, i can help you with the solution
- Data merge and processing
- Migrate your Data into 3rd party Apps, (ERP, Quickbook, Netsuite, Xero, Rillet, Campfire, Pennylane)
- A.I. Agent Integrate for Analytical processes.
Steps for completing your project
After purchasing the project, send requirements so Buddhika can start the project.
Delivery time starts when Buddhika receives requirements from you.
Buddhika works on your project following the steps below.
Revisions may occur after the delivery date.
Environment Audit & Requirements Review
I begin by reviewing your existing PostgreSQL schema and MinIO environment. We will finalize the data retention policy (e.g., how many days of data stay in "Hot" storage) and verify connectivity requirements, including LDAP/SSL details.
Infrastructure Deployment (Trino & MinIO)
I deploy the core Lakehouse stack using Docker or your preferred orchestrator. This includes configuring the Trino coordinator/workers, connecting the Hive Metastore, and setting up the S3-compatible storage buckets in MinIO