Struggling with slow, unreliable data pipelines, rising cloud costs, or a data stack that can't keep up with your AI initiatives? I help businesses fix exactly that.
I'm a Senior Data Engineer with hands-on experience helping businesses design, build, and scale reliable data infrastructure across Azure, GCP, and AWS. I specialize in end-to-end ETL/ELT pipelines, real-time data processing, and cloud-native data architecture using PySpark, Python, SQL, Databricks, and BigQuery.
Across 21+ completed projects on Upwork, I've delivered more than $100K in data engineering solutions, including systems processing over 10 million records with performance improvements of up to 40%. My work spans automated ingestion frameworks, CRM and analytics integrations, RAG-based LLM pipelines, and cloud cost optimization without sacrificing performance.
Clients consistently point to my clear communication, reliability, and commitment to quality, reflected in my 100% Job Success score and Top Rated Plus status. Whether you need a pipeline built from scratch, an existing data stack optimized, or an ongoing data engineering partner, I bring the technical depth and communication needed to get projects delivered on time and on budget.
If you have a data challenge, let's connect and discuss how I can help move your project forward.
Parth P. earns an estimated $6.1k/mo. That's 4.1× the typical freelancer and more than 99.65% of everyone we track.