DATA
Analytics Engineer

Khaja
S.

Transforming raw data into business intelligence. Building scalable pipelines, semantic models, and dashboards that drive decisions.

Get in touch GitHub
profile.json
{
"name": "Khaja S",
"role": "Analytics Engineer",
"focus": [
  "Data Modelling",
  "ETL/ELT Pipelines",
  "BI & Visualization"
],
"platform": "Azure / Fabric",
"certs": ["AZ-900", "DP-900"],
"github": "@hafeezuddin",
"status": true
}
▶ // open to opportunities
architecture

Medallion Architecture on Databricks

DATA SOURCES
🗄️ Databases 📁 Files 🌐 APIs ☁️ Cloud
Azure Data Factory · ADF
→
🥉
Bronze
Raw Ingestion
  • Raw data as-is
  • Delta Lake format
  • Full audit trail
Databricks + Delta
→
🥈
Silver
Cleansed & Conformed
  • Deduplication
  • Type casting
  • Business rules
PySpark · SQL · Pandas
→
🥇
Gold
Business-Ready
  • Dimensional models
  • Aggregations
  • Semantic layer
Data Modelling · SQL
→
CONSUMPTION
📊 Power BI 📈 Tableau 🔗 Fabric 🎯 Reports
Microsoft Fabric · Direct Lake
⚡
Databricks — Core Platform
Primary platform for large-scale data engineering. Building end-to-end lakehouse pipelines using Delta Lake, orchestrating notebooks and jobs via Databricks Workflows, and running distributed transformations with PySpark across Bronze, Silver and Gold layers.
Delta Lake PySpark Databricks Workflows Unity Catalog Notebooks Medallion Architecture
12+ Technologies
⚡ Databricks Expert
2x MS Certified
🏅 Medallion Arch.
about

Building the Data
Foundation

Analytics engineer with deep expertise across the modern data stack — from ingesting raw data via Azure Data Factory to delivering polished Power BI dashboards that non-technical stakeholders can actually use.

Core speciality is designing and implementing Medallion Architecture (Bronze → Silver → Gold) on Databricks with Delta Lake — building reliable, scalable lakehouse pipelines that separate raw ingestion, cleansing, and business-ready aggregation into clean, independently testable layers.

Proficient in PySpark, Python & Pandas for large-scale transformations on Databricks, paired with Advanced SQL for semantic modelling and dimensional design. Fluent in both ETL and ELT paradigms across the Azure and Microsoft Fabric ecosystems.

Name Khaja S
Role Analytics Engineer
Cloud Azure, Microsoft Fabric
BI Tools Power BI, Tableau
Email khajahafeezuddin77@gmail.com
GitHub @hafeezuddin
Certs AZ-900 · DP-900
Status ● Available
toolkit

Skills & Technologies

credentials

Microsoft Certifications

☁️
Microsoft Azure
AZ-900
Azure Fundamentals
Validates foundational knowledge of cloud concepts, Azure services, security, privacy, compliance, and Azure pricing & support.
Microsoft Certified
📊
Microsoft Azure
DP-900
Azure Data Fundamentals
Validates core knowledge of data concepts and Azure data services — including relational, non-relational, and analytics workloads.
Microsoft Certified
open source

GitHub Activity

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get in touch

Let's Build
Something Together

📧
Email
khajahafeezuddin77@gmail.com
GitHub
github.com/hafeezuddin

Open to Opportunities

Looking for challenging roles in data engineering, analytics architecture, or BI development.

Send a Message