Aniket Mishra
About Aniket Mishra
Aniket Mishra is a Data Engineer with extensive experience in data processing and ETL pipeline design. He has worked at notable companies such as SparkCognition and Infosys, and has contributed to projects involving predictive maintenance and anomaly detection in renewable energy systems.
Current Role at SparkCognition
Aniket Mishra currently serves as a Data Engineer at SparkCognition, where he has been employed since 2021. In this role, he focuses on data engineering tasks that contribute to the development of advanced analytics solutions. His work involves utilizing various technologies to enhance data processing capabilities and improve operational efficiency.
Previous Experience at Ensemble Energy
Before joining SparkCognition, Aniket worked as a Data Analyst at Ensemble Energy for a brief period of two months in 2021. During his time there, he contributed to data analysis projects in Hyderabad, Telangana, India, gaining valuable experience in the energy sector.
Professional Background at Infosys
Aniket has a background in systems engineering from his tenure at Infosys, where he worked as a Systems Engineer (ETL) for six months from 2020 to 2021. He also held a position as a Data Analyst for two months in 2020. His roles involved designing and implementing ETL processes, which are essential for data integration and management.
Education and Technical Skills
Aniket studied Computer Science at SRM University, where he completed his Bachelor of Technology (BTech) degree from 2016 to 2020. His education provided a strong foundation in programming and data management, which he applies in his current and previous roles. He is skilled in technologies such as Pandas, AWS, and serverless architectures.
Projects and Contributions
Aniket has been involved in significant projects, including the development of an anomaly detection system for wind turbines and solar panels, achieving over 99% accuracy. He also optimized container processing, significantly reducing processing time. His work includes data engineering for predictive maintenance of solar farms using advanced statistical methods.