Dolly Shukla
About Dolly Shukla
Dolly Shukla is a Senior Data Engineer at The Economist, specializing in ETL pipeline development and machine learning. She has a background in software engineering and data engineering, with experience at Tata Consultancy Services and Bharti Airtel.
Current Role at The Economist
Dolly Shukla serves as a Senior Data Engineer at The Economist, a position she has held since 2023. In this role, she focuses on building and optimizing data pipelines, leveraging her expertise in ETL processes. Her responsibilities include utilizing technologies such as Kafka, Spark, and Cassandra to manage and analyze large datasets effectively.
Previous Experience in Data Engineering
Before her current position, Dolly Shukla worked at The Economist as a Data Engineer III from 2021 to 2023. During this time, she contributed to various data engineering projects, enhancing her skills in data management and analytics. Prior to that, she was employed at Bharti Airtel as a Software Engineer from 2018 to 2021, where she gained experience in software development and data solutions.
Experience at Tata Consultancy Services
Dolly Shukla began her career at Tata Consultancy Services as a Java Developer from 2015 to 2018. In this role, she developed software solutions and gained foundational experience in programming and application development. This position provided her with essential skills that she later applied in her data engineering roles.
Educational Background in Computer Science
Dolly Shukla earned her Bachelor of Technology (B.Tech.) degree in Computer Science from Hindustan College of Science and Technology, studying from 2011 to 2015. This educational background equipped her with the technical knowledge necessary for her career in data engineering and software development.
Technical Skills and Tools
Dolly Shukla has hands-on experience in building ETL pipelines and developing machine learning pipelines. She works with Airflow for orchestrating data workflows and utilizes AWS for cloud-based data solutions. Her technical proficiency includes working with various data processing technologies, enhancing her capability to manage complex data systems.