Rajasimman T.
Data Engineering Services | Databricks | Azure | AWS | Snowflake
I design, build, and modernize cloud data platforms that are scalable, reliable, and built for business growth. From modernizing legacy ETL/ELT pipelines to implementing enterprise data warehouses, Lakehouse architectures, and real-time data solutions, I deliver production-ready platforms across Snowflake, Databricks, AWS, Azure, and modern data ecosystems. Through my company, Vortunix Data Solutions, I deliver these platforms with a dedicated senior data engineer on your project and me as your accountable lead. A German industrial-AI client has worked with us this way for a year, with 5-star reviews on every contract. 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 • Cloud Data Platform Architecture • Data Engineering & ETL/ELT Development • Snowflake & Databricks Implementation • Data Warehousing & Lakehouse Architecture • AWS & Azure Data Solutions • Data Migration & Modernization • Real-Time Data Streaming • Analytics Engineering & Business Intelligence • Dedicated Data Engineers on Monthly Engagements 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 • Cloud Platforms: AWS | Microsoft Azure | Google Cloud Platform (GCP) • Modern Data Platforms: Snowflake | Databricks | Amazon Redshift | BigQuery • Data Engineering: Python | SQL | PySpark | Apache Airflow | Apache Kafka | AWS Glue | Azure Data Factory • Infrastructure & DevOps: Docker | Kubernetes | Terraform | CI/CD • Analytics & Visualization: Power BI | Tableau 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 • Understand business objectives before designing the technical solution. • Architect scalable, maintainable, and production-ready data platforms. • Follow engineering best practices with clean, well-documented, and maintainable implementations. • Maintain clear communication, proactive ownership, and reliable delivery throughout the engagement. 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 ✔ Year-long data engineering engagement for a German industrial-AI company, rated 5 stars on every contract. ✔ Designed and implemented scalable cloud data platforms supporting analytics and reporting. ✔ Modernized legacy data environments to improve reliability, scalability, and operational efficiency. ✔ Automated complex data workflows, improving data quality and reducing manual effort. ✔ Delivered secure, production-ready solutions with comprehensive documentation and seamless knowledge transfer. If you're looking to architect, build, or modernize your cloud data platform, or need a dedicated data engineer for ongoing work, I'd be glad to discuss your requirements.
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $9.6k
Billed in all: $24,771$25k
$2.4k in the last 6 months
Across 5 contracts
Across 9 contracts
Earnings, last 30 days
Skill rankings: Top 7% in PySpark
Ranked by MRR among everyone on Upwork with the skill.
- #30PySpark460 freelancers · 🇮🇳 #8Top 7%🇮🇳#8 of 140
- #36Apache Spark467 freelancers · 🇮🇳 #5Top 8%🇮🇳#5 of 106
- #44Data Warehousing & ETL Software379 freelancers · 🇮🇳 #11Top 12%🇮🇳#11 of 75
- #47Databricks Platform460 freelancers · 🇮🇳 #6Top 10%🇮🇳#6 of 113
- #97Apache Kafka981 freelancers · 🇮🇳 #11Top 10%🇮🇳#11 of 233
- #101Snowflake621 freelancers · 🇮🇳 #15Top 16%🇮🇳#15 of 155
- #143Solution Architecture1,009 freelancers · 🇮🇳 #14Top 14%🇮🇳#14 of 207
- #200ETL Pipeline1,397 freelancers · 🇮🇳 #25Top 14%🇮🇳#25 of 222