Hi, I'm Khaja Mujahiddin Mohammed

About

As a senior-level data engineer and analyst with more than 6 years of experience, currently serving as a Data Engineer at Optum, I design scalable analytics platforms and machine-learning pipelines across healthcare, telecom, and retail. I have delivered end-to-end cloud data solutions on Azure and AWS, including a Medallion lakehouse architecture and automated feature-engineering pipelines that cut data-prep latency by 30%. By building production-grade NLP and predictive models and creating interactive BI dashboards, I translate complex data into actionable insights. Aiming to apply this expertise to accelerate data-driven decision-making and improve outcomes for a forward-thinking organization.

# Example PySpark Transformation Pipeline
from pyspark.sql import SparkSession
from pyspark.sql.functions import col

def process_bronze_to_silver(df):
    """
    Cleans raw data and writes to Silver zone 
    in Delta Lake format.
    """
    clean_df = df.filter(col("status") == "active") \
                 .dropDuplicates(["transaction_id"])
                 
    clean_df.write.format("delta") \
            .mode("append") \
            .save("/mnt/datalake/silver/transactions")
            
    return "Data processing complete"

Projects

NLP-Driven Speech Analytics Platform

NLP · PySpark · Databricks · Whisper · Azure

Enterprise Lakehouse Analytics Platform

Azure · Medallion · Airflow · Power BI

Multimodal Fake News Detection

Deep Learning · NLP · Machine Learning

Pedestrian & Cyclist Segmentation

Computer Vision · U-Net · Deep Learning

Real-Time Customer Segmentation

AWS · PySpark · Power BI · MLOps

Experience

1. Data Engineer

   Optum • Hartford, CT • Jan 2025 – Present

   • Architected scalable ETL and data ingestion pipelines on AWS and Azure with Databricks, Lambda, and Step Functions.
   • Engineered automated feature engineering pipelines utilizing PySpark and SQL, reducing data preparation latency by 30%.
   • Designed high-performance relational and NoSQL data structures in ADLS Gen2 for downstream machine-learning workflows.
   • Streamlined orchestration workflows using Airflow and dbt, and implemented data observability frameworks.
   • Applied FinOps principles to optimize cloud compute usage, reducing operational costs.

2. Associate Data Engineer

   Staples • Chennai, India • Oct 2021 – Jul 2023

   • Implemented a Medallion Lakehouse architecture in Azure Data Lake (Bronze/Silver/Gold) to unify multi-brand ERP datasets.
   • Designed scalable ETL workflows using PySpark and SQL to transform high-volume financial transaction datasets.
   • Developed automated reporting and visualization layers in Power BI and Spotfire.
   • Optimized SQL query performance across Snowflake and Azure Synapse environments.

3. Data Analyst

   Verizon • Hyderabad, India • Aug 2019 – Sep 2021

   • Developed high-throughput Spark and Python data pipelines in Azure Databricks processing millions of daily telecom records.
   • Deployed NLP transcription workflows using Whisper and Voice Activity Detection (VAD) models.
   • Executed serverless analytics with AWS Athena to analyze acoustic metadata.
   • Designed Power BI dashboards visualizing regional network performance and signal degradation metrics.

Skills

Education

Certifications

• AWS Cloud Practitioner — EduBridge
• Google Data Analytics — Coursera
• HackerRank SQL — 5 Star
• MySQL Developer — Udemy
• PGDCA (Post Graduate Diploma in Computer Applications)
• Data Analytics & Visualization Virtual Experience — Forage