Supriya Jadhav
Azure Data Engineer at Capgemini | Building Scalable ETL Pipelines using Spark, Azure Data Factory & Databricks | Big Data | Python | SQL | Hadoop | Kafka | Cloud Analytics (IaaS | PaaS | SaaS)
- Role
- Azure Data Engineer at Capgemini Engineering
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Supriya Jadhav
I am a dedicated and passionate Big Data Engineer with 3.5 years of experience in designing, developing, and maintaining scalable data processing systems. My expertise lies in leveraging big data technologies to extract actionable insights and drive business value.Throughout my career, I have demonstrated a strong ability to handle large volumes of data, ensuring data quality, and implementing efficient data processing pipelines. I am proficient in using tools and technologies such as Apache Hadoop, Apache Spark, Kafka, Pyspark, and various NoSQL databases.Key Skills:*Big Data Technologies: Apache Hadoop, Apache Spark, Kafka, Hive, HBase*Programming Languages: Scala, Python, Java*Data Processing: ETL, Data Warehousing, Real-time Data Processing*Cloud Platforms: Azure*Databases: MongoDB, Cassandra, MySQL*Tools: Git, Jenkins, Docker, Kubernetes*Data Analysis: SQL, Excel, Tableau, Power BIProfessional Experience:Reliance Jio: Spearheaded multiple big data projects, leading to an 80% improvement in data processing efficiency.Eclerx: As a Data Analyst, developed and optimized ETL pipelines that reduced data latency by 60%, and created comprehensive dashboards and reports that informed key business decisions.Feel free to connect with me to discuss big data, technology, or potential collaboration opportunities.
Experience
Azure Data Engineer
May 2025 — Present · Mumbai, IN
Education
JM RATHI ENGLISH SCHOOL
SSC
MES' PILLAI HOC COLLEGE OF EDUCATION AND RESEARCH
Bachelor's degree, Computer Engineering
2017 — 2020
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