Didhiti Sarkar
About Didhiti Sarkar
Didhiti Sarkar is an Associate Software Engineer at Altimetrik, specializing in building ETL data pipelines and utilizing AWS services. She holds a Bachelor of Technology in Electrical, Electronics and Communications Engineering from Cummins College of Engineering for Women and has experience in Continuous Integration, Continuous Deployment, and Machine Learning operations.
Work at Altimetrik
Didhiti Sarkar has been employed at Altimetrik as an Associate Software Engineer since 2020. Based in Bangalore Urban, Karnataka, India, she focuses on software engineering practices that enhance development efficiency. Her role involves implementing Continuous Integration and Continuous Deployment (CI/CD) practices, which streamline the software development lifecycle. Didhiti also engages in infrastructure management through code, utilizing tools such as Terraform to automate and manage infrastructure.
Education and Expertise
Didhiti Sarkar earned her Bachelor of Technology (BTech) degree in Electrical, Electronics, and Communications Engineering from Maharshi Karve Stree Shikshan Sanstha's Cummins College of Engineering for Women in Pune. Her studies spanned from 2016 to 2020. This educational background provides her with a solid foundation in engineering principles, which she applies in her current role in software engineering.
Technical Skills and Tools
Didhiti specializes in building ETL data pipelines using various AWS services, which are essential for data integration and processing. She employs Big Data frameworks like Spark in her daily work, enabling her to handle large datasets efficiently. Additionally, she is involved in Machine Learning operations (MLOps), which integrates machine learning models into production environments. Didhiti utilizes Docker for containerization of solutions and Airflow for orchestrating projects, enhancing the reliability and scalability of her work.
Background
Didhiti Sarkar's professional journey began after completing her degree in engineering. Her focus on software engineering has led her to specialize in various technologies and practices that are critical in today's data-driven landscape. Her experience with CI/CD, infrastructure as code, and data processing tools positions her well within the tech industry.