About

Madhumita Srivastava is a highly skilled Data Engineer with over 8 years of relevant experience. She is currently serving her notice period and seeking new opportunities to further develop her skills and contribute to the field of data engineering. Madhumita has a Bachelor's Degree in Electronics and Electrical Engineering from KIIT University, where she gained a strong foundation in the technical aspects of her field. Madhumita is proficient in a range of technologies and tools, including HDFS, Kafka, Spark, Big Data, UI, Scala, Java, and Apache Hive. She also has experience in software engineering, testing, and web development. Her diverse skill set enables her to approach complex problems from multiple angles and find creative solutions. Throughout her career, Madhumita has demonstrated her ability to work collaboratively with cross-functional teams and deliver high-quality results. She is a proactive problem-solver, always seeking out new challenges and opportunities for growth. Madhumita's attention to detail and commitment to excellence have earned her a reputation as a skilled and reliable data engineer. In her most recent role, Madhumita has been responsible for designing and developing data pipelines, creating data models, and building scalable data infrastructure. She has also worked on optimizing data processing and storage, ensuring that data is available and accessible to stakeholders across the organization. Madhumita's contributions have been instrumental in improving data quality, reducing processing time, and enhancing overall efficiency. Madhumita is now seeking a new role where she can continue to apply her skills and expertise in data engineering. She is passionate about staying up-to-date with the latest trends and technologies in her field and is committed to ongoing learning and professional development. With her strong technical skills, collaborative approach, and dedication to excellence, Madhumita is a valuable asset to any organization in need of a skilled data engineer.