I will be your data engineer using python and pyspark on AWS, gcp, and azure

I am a Data Engineer with 10+ years of experience building production-grade data platforms across cloud and distributed systems. I hold a Masters degree in Cloud Computing and Distributed Systems and have worked with clients ranging from startups to Fortune 500 companies, delivering high-performance architectures that process billions of events with low latency and high reliability.

I help organizations turn raw data into scalable, analytics-ready systems by designing and implementing end-to-end data engineering solutions.

Core Expertise

• Data Architecture & Strategy Scalable, secure architectures aligned with business and compliance needs
• Batch & Streaming Pipelines ETL/ELT using Spark, PySpark, Flink, Kafka
• Cloud Data Engineering AWS, GCP, Azure, including Databricks, Data Factory, Dataflow, S3, BigQuery
• Data Integration & APIs API ingestion into data lakes, warehouses, and databases
• Analytics Enablement Pipelines for Power BI, Tableau, Qlik, and dashboards
• Databricks & PySpark Workflow and pipeline development
• Databases SQL optimization and warehousing; NoSQL (MongoDB, Cassandra)
• Automation & Orchestration Airflow, NiFi
• ML Enablement Data platforms optimized for machine learning