India
Available for opportunities
Iftikar Alam

Iftikar Alam

Software Engineer - Data & AI

"Building scalable data pipelines & modern web applications."

Key Technologies

PythonSQLAzureLangChainDatabricksPySparkReact.jsFastAPIFlask
~catabout.md

I build robust data pipelines and scalable software solutions. Bridging the gap between complex data infrastructure and intuitive user applications.

~cateducation.txt

Indian Institute of Technology, Madras

BS in Data Science & Applications

2023 - 2027CGPA: 8.9
~scout--connections

Featured Projects

A selection of high-impact data engineering pipelines and full-stack web applications.

https://github.com/spotify-azure-data-&-ai-platform
Spotify Azure Data & AI Platform
AI & Data Engineering

Spotify Azure Data & AI Platform

End-to-end Lakehouse platform with ML and Generative AI for music streaming analytics.

Azure Data FactoryAzure DatabricksDelta LakeDelta Live TablesPySparkPythonScikit-learnMLflowLangChainLlama 3Azure SQL DatabaseADLS Gen2

Key Highlights

  • Implemented metadata-driven incremental ingestion using Azure Data Factory with watermarking
  • Designed Medallion Architecture (Bronze, Silver, Gold) using Databricks and Delta Lake
  • Built SCD Type 2 historical data modeling using Delta Live Tables (DLT)
  • Developed a machine learning model to predict potential hit songs with Scikit-learn and MLflow
  • Created an AI-powered Chat-with-Data agent using LangChain and Llama 3
https://github.com/supportx-ai-assist
SupportX AI Assist
AI Engineering

SupportX AI Assist

Multi-Agent IT support assistant powered by Agentic RAG, vector search, and large language models.

PythonAutoGenGroq (Llama 3.3)Google GeminiAzure AI SearchStreamlit

Key Highlights

  • Implemented multi-agent orchestration with AutoGen framework
  • Integrated Azure AI Search with Gemini embeddings for semantic similarity matching
  • Built automated ticket escalation system with email notifications
https://github.com/azure-data-engineering-–-nyc-taxi-data
Azure Data Engineering – NYC Taxi Data
Data Engineering

Azure Data Engineering – NYC Taxi Data

End-to-end distributed data pipeline processing NYC Taxi data.

Azure Data FactoryDatabricksDelta LakePySparkADLS Gen2

Key Highlights

  • Implemented Medallion Architecture for structured data processing
  • Built dynamic ingestion pipelines with Azure Data Factory
  • Optimized data transformations using Databricks & PySpark
https://github.com/real-time-iot-streaming-etl-pipeline
Real-Time IoT Streaming ETL Pipeline
Data Engineering

Real-Time IoT Streaming ETL Pipeline

Real-time streaming pipeline processing IoT sensor data using Databricks Delta Live Tables.

DatabricksDelta Live TablesPySparkSpark Structured StreamingUnity CatalogDelta LakePython

Key Highlights

  • Implemented 2-minute watermarking to handle late-arriving IoT data accurately
  • Designed Medallion Architecture (Bronze, Silver, Gold) using Delta Live Tables
  • Enforced data quality rules using DLT Expectations (expect_or_drop for critical validations)
  • Created 10-minute tumbling window aggregations for real-time bridge safety monitoring

Technical Arsenal

A comprehensive suite of tools and technologies I use to architect scalable data solutions and performant applications.

Data Engineering

Processing | Storage | Analytics

Azure Data Factory
Databricks
PySpark
Delta Lake
SQL
ADLS Gen2
Apache Airflow

Software Development

Frontend | Backend | API

React.js
Next.js
Python
Flask
TypeScript
Node.js
Tailwind

Machine Learning

Training | Modeling | Insights

Scikit-Learn
Pandas
NumPy
NLP
Matplotlib

DevOps & Tools

CI/CD | Containers | Versioning

Git
Docker
Linux
Redis
Celery
WSL

Authorized Certifications

Validation of technical competencies and data expertise by industry leaders.

Let's build something scalable.

Whether you need a data pipeline, a full-stack platform, or just want to discuss the latest in tech, I'm always open to new opportunities.

bash — 85x24
~python3 contact_info.py

class Developer:

def __init__(self):

self.name = "Iftikar Alam"

self.role = "Software Engineer - Data & AI"

self.stack = ["Python", "SQL", "React"]


def contact(self):

return {

"email": "iftikaralam0016@gmail.com",

"github": "@iftikar0016",

"status": "Ready for new challenges 🚀"

}

~