Bhawna Mehbubani — Software Engineer

With a solid foundation in Python, PySpark, and AWS services such as S3, Glue, Redshift, and Athena, I focus on designing and optimizing scalable ETL pipelines, automating data workflows, and managing large-scale data processing environments. 1. Strong proficiency in advanced SQL for complex data transformations, query optimization, and conceptual knowledge of performance tuning across platforms like Databricks, Redshift, Snowflake, Hadoop, and Hive. 2. Knowledgeable in system design fundamentals, including high availability, fault tolerance, scalability, and distributed systems, ensuring efficient architecture for data pipelines and cloud solutions. 3. Leveraging cloud services such as AWS Glue, EMR, Snowflake, and Confluent Kafka for efficient data ingestion, real-time streaming, transformation, and orchestration across diverse data sources. 4. Familiar with Apache Spark for distributed data processing, enabling fast and efficient handling of big data workloads. Notably, I contributed to a Top 3 finish in the Cognizant BlueBolt Hackathon, where I played a key role in developing a Python-based QnA Rewards Portal, demonstrating my ability to build data-driven solutions. Passionate about designing and optimizing robust data systems and architectures, I am eager to explore opportunities in Data Engineering. Let’s connect!

Stackforce AI infers this person is a Data Engineering professional with expertise in cloud-based data solutions.

Location: Kolkata, West Bengal, India

Experience: 5 yrs 5 mos