Senior Data Engineer with 9 years of experience building large-scale, cloud-native data platforms that process 50TB+ daily across Azure and GCP ecosystems.
I specialize in end-to-end data lakehouse architecture (Bronze/Silver/Gold), real-time streaming pipelines, and batch ETL/ELT systems using Apache Spark, PySpark, Databricks, Kafka, and Airflow. I've delivered solutions across fintech, government, and enterprise domains โ working with global teams in India and Singapore.
What I bring to a remote team:
Lakehouse design on Azure Databricks with Delta Lake and medallion architecture
Real-time Kafka + Structured Streaming pipelines with sub-minute latency
80% reduction in data quality issues via automated Great Expectations frameworks
Strong async communication and cross-functional collaboration across time zones
Currently based in India. Open to fully remote roles globally or relocation to UAE, UK, or Canada. Visa sponsorship required for on-site roles.
๐ง [email protected]
๐ linkedin.com/in/rahuldhaundiyal
| ๐ Nationality | ๐ฎ๐ณ India |
| ๐ก Residency | ๐ฎ๐ณ India |
| ๐ Location | ๐ฎ๐ณ India |
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rok.co/@rdhaundiyal07 |
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sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
| Skilled in | pyspark hadoop python sql azure databricks adf |
| Fluent in | englishhindi |
| Preferred annual pay (min) | $90,000/year |
| Preferred hourly pay (min) | $50/hour |
| Last seen | 29 days ago |
| Signed up | 5 months ago |
| Badges |
๐จโ๐ป Remote worker |
2024 - current: Sr Data engineer @ Teksystems india
2023 - 2023: Sr Data engineer @ Infosysy Singapore
2013 - 2016: Bsc (IT) @ Mumbai university