Phoenix - Your AI AssistantDo Database Architecture Setup & Design
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What you get with this Offer
Design
End-to-end data architecture design and implementation using SQL databases and Databricks Lakehouse — built for scale, performance, and maintainability.
What you get
Relational schema design & ERD
Databricks workspace & cluster setup
Delta Lake table architecture
ETL / ELT pipeline design
Role-based access control
Query optimisation & indexing
Documentation & handover
Tech stack
Databricks
SQL Server
PostgreSQL
Relational DB design
Delta Lake
Transformation layer
Pyspark
Genie AI
Why Choose me?
Decade of battle-tested experience:
10+ years designing schemas, pipelines, and Lakehouse architectures across fintech, e-commerce, healthcare, and SaaS. I've seen every failure mode — and know how to avoid them.
⚡
Performance-first mindset:
I've reduced query times by 10x and cut Databricks compute costs by 40%+ on real client projects — through smart partitioning, Delta optimisation, and indexing strategy.
Have added rough estimate for the same, it might go up and down 5-10%
What the Freelancer needs to start the work
Project Overview
Business/Product: [e.g., Fintech app, E-commerce platform, SaaS reporting tool].
Primary Goal: [e.g., New setup / Migration / Optimizing slow DB / Building Databricks Lakehouse].
Service Tier: [Basic (SQL only) / Standard (SQL + Databricks) / Enterprise (Full Lakehouse + Governance)].
Data & Scale Details
Data Volume: Current size [e.g., 100GB] and expected growth [e.g., 2TB in 1 year].
Data Sources: [e.g., REST APIs, PostgreSQL, CSVs, Kafka, or Third-party SaaS].
System Pattern: [Read-heavy Analytics / Write-heavy Transactional / Mixed OLTP+OLAP].
Tech Environment
Cloud Provider: [AWS / Azure / GCP] — Dictates storage (S3/ADLS) and networking.
SQL Flavor: [PostgreSQL / SQL Server / Snowflake / Other].
Current Stack: List existing BI (Power BI/Tableau) or ETL tools (dbt/Airflow).
Existing Setup & Constraints
Current ERD: [Brief description of existing schema or "Starting from scratch"].
Key Pain Points: [e.g., High compute costs, slow queries, lack of data lineage].
Core Entities: [List 3-5 main tables, e.g., Users, Transactions, Inventory]