I will build and optimize your data pipelines
Transforming Data into Insights and Ideas into Powerful Web Solutions
About this Gig
Are you looking for a top-tier data engineering expert to transform your big data challenges into seamless, scalable solutions?
Welcome! Im Nitin, a seasoned Big Data Engineer 3+ years with deep expertise in modern data engineering technologies.
I specialize in creating robust, reliable, and efficient data pipelines using Databricks, Apache Spark, Apache Airflow, Azure Data Factory (ADF) and event-driven architectures with Kafka. Whether you need classic ETL/ELT workflows, advanced data warehousing, or cutting-edge Lakehouse architectures with Delta Lake, I've got you covered.
What I Offer:
- Designing and developing high-performance ETL/ELT pipelines for complex data environments
- Data warehousing solutions including schema design, data modeling, and optimization
- Real-time data streaming implementation using Kafka
- Automated workflow orchestration with Apache Airflow for reliability and scalability
- Expertise in PySpark and SQL for large-scale data transformation and analytics
- Azure Data Factory pipelines with dynamic workflows and monitoring
- Data lake and delta lake management to ensure accurate, consistent, and fast data access.
Lets collaborate to unlock the true value of your data
My Portfolio
FAQ
Do you provide support after the project?
Yes, I offer post-project support and troubleshooting to ensure smooth operation.
What’s the delivery time?
Delivery time depends on project complexity, but I always strive to deliver quality work as fast as possible and keep clear communication.
Can you help with performance optimization?
Absolutely! I analyze and optimize your existing data workflows to ensure maximum performance and minimum costs.
Which technologies do you specialize in?
Databricks, Apache Spark, Apache Airflow, Azure Data Factory, Kafka, MQTT, Delta Lake, PySpark, SQL, and modern data warehousing.
What kind of projects can you handle?
From building scalable ETL/ELT pipelines to managing real-time streaming data and designing data warehouse architectures, I handle projects of all scales — from startups to enterprise-grade systems.

