Data Engineer with 3+ years of experience building scalable ETL and real-time data pipelines using PySpark, SQL, and Spark Structured Streaming. Experienced in Azure Data Factory, Databricks, Delta Lake, and Apache Kafka, with a strong focus on lakehouse and event-driven architectures. Proven track record of improving data processing performance by 20โ30% and delivering reliable, production-grade data solutions across Azure, AWS, and GCP environments. Currently seeking remote or global opportunities with immediate availability.
| ๐ Nationality | ๐ฎ๐ณ India |
| ๐ก Residency | ๐ฎ๐ณ India |
| ๐ Location | ๐ฎ๐ณ India |
|
|
rok.co/@sanjeevkrishnaiah94 |
|
|
sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
| Skilled in | python sql pyspark spark structured apache kafka azure data factory databricks delta lake aws gcp airflow data modeling etl pipelines data warehousing |
| Fluent in | english |
| Preferred timezone | asia |
| Last seen | 11 days ago |
| Signed up | 13 days ago |
| Badges |
๐จโ๐ป Remote worker ๐ฅ Newbie |