Vrushali Ransubhe

• Over 8+ years of proven experience in Data Engineering, DevOps, and Machine Learning, consistently delivering high-quality solutions to meet business objectives. • Possessing extensive skills in Databricks engineering, with a focus on Spark, SQL, and Python (Scala), leveraging these tools for over 4 years to develop robust data engineering solutions. • Experienced in utilizing agile and DevOps methodologies to implement data engineering workflows on Databricks, ensuring efficiency, collaboration, and innovation throughout project lifecycles. • Demonstrated capability in deploying end-to-end data engineering applications using Scala, with a strong track record of delivering scalable and reliable solutions to meet business needs. • Skilled in deploying Data Analytics and Engineering resources on AWS using Terraform, facilitating seamless integration and management of cloud infrastructure to support data engineering projects. • Proficient in Kubernetes, Docker, and Jenkins, capable of effectively utilizing these tools to address diverse challenges in data engineering projects, enhancing efficiency and productivity. • Possessing a flexible approach to problem-solving and adaptability to changing project requirements, enabling effective navigation of complex data environments and ensuring project success. • Committed to staying updated with emerging technologies and industry best practices, dedicated to continuous learning to drive innovation and deliver solutions that exceed business expectations. • Effective communicator with stakeholders at all levels, adept at translating technical concepts into understandable language, fostering collaboration and alignment across teams. • Strong analytical skills, capable of analyzing complex data sets, identifying trends, and deriving actionable insights to inform decision-making and drive business growth. • Skilled in creating comprehensive documentation, including Software Requirement Specifications (SRS), Business Requirements Document (BRD), and other relevant documents, ensuring clarity and alignment with project objectives. • Proficient in scheduling and automating ETL and batch jobs using BMC Control- • Demonstrate proficiency in setting up and configuring Snow pipe for automated data loading. • Use Snow pipe to continuously load data into Snowflake tables from staged files • Experienced in data modeling, normalization, database design, data loading, and retrieval techniques, proficient in performing data analysis to support informed decision-making and business operations. • Capable of managing project tasks and timelines effectively, ensuring adherence to project milestones and priorities, and delivering high-quality solutions within specified deadlines. • Strong team player with a collaborative mindset, able to work effectively in cross-functional teams, leveraging diverse perspectives and expertise to achieve project goals. • Good experience in Google Cloud Vision API integrate vision to detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and explicit content. • Committed to delivering high-quality solutions that meet or exceed client expectations, with a keen attention to detail and a focus on continuous improvement in all aspects of project delivery.