padmaja Naikwadi
Hyderabad, India
padmaja Naikwadi
data base
Category : Data base
I have five years of experience specializing in Azure Data Factory (ADF), Databricks, PySpark, Oracle SQL/PLSQL, Unix Shell scripting, and ProC programming. I designed and implemented ETL pipelines in Azure Data Factory to ingest structured and unstructured data from diverse sources including SQL databases, APIs, and Blob Storage. I am implementing automating workflows with triggers and parameterized pipelines, ensuring scalability and efficiency.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
migrating complex ETL processes from on‑premise systems to modern Azure cloud services. She designed and implemented scalable ETL pipelines in Azure Data Factory, integrating data from Oracle databases, REST APIs, and flat files into Azure Data Lake. I'm developed Databricks notebooks for data cleansing, schema enforcement, and advanced transformations, ensuring smooth orchestration with ADF.
i have completed total 16years of my studies without gaps.
- 🇬🇧 English
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