Meet Baldha

Background

About Meet Baldha

My objective is to streamline data workflows, minimize latency, and build scalable, secure systems that support advanced analytics, ensuring data is always accessible and reliable. Accomplished Data Engineer with 5+ years of experience in designing, implementing, and optimizing data pipelines and architectures for high-volume environments. Expert in utilizing technologies such as Python, SQL, Hadoop, Spark, and AWS to build scalable and efficient data solutions. Skilled in ETL development, data warehousing, and real-time data processing, with a proven track record of ensuring data quality, reliability, and accessibility. Leveraging cloud platforms like AWS and Azure for data storage, processing, and orchestration, reducing infrastructure costs and improving performance. Automating data workflows and integrating with CI/CD pipelines to streamline data operations and reduce time to insight. Proficient in a wide array of technologies including Python, SQL, Hadoop, Spark, Kafka, and AWS, with a deep understanding of both batch and real-time data. Specializing in Google Cloud Platform (GCP) technologies, including Big Query, Dataflow, Pub/Sub, and Cloud Storage, with a proven ability to build scalable and cost-effective data solutions. Automating ETL processes and integrating with CI/CD pipelines to streamline deployment and reduce operational overhead. Expert in leveraging Azure's cloud services to deliver scalable, secure, and cost-efficient data solutions that drive business intelligence and analytics. Proficient in Python, SQL, Spark, Kafka, and a wide range of Azure technologies including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks. Collaborated with data scientists to deploy machine learning models on Azure ML, enabling predictive analytics and AI-driven business strategies.