About

Rajarshi Sarkar is a Software Development Engineer at Microsoft with over 7 years of relevant experience in the field of Big Data and cloud computing. He is a GCP Certified Cloud Data Engineer and has a passion for Machine Learning and Artificial Intelligence. Rajarshi is an expert in developing and implementing solutions, designing innovations and building robust applications. He possesses an engineering mindset and is skilled in problem-solving. Rajarshi is proficient in various cloud platforms such as Microsoft Azure and Google Cloud Platform. He has worked with different Hadoop distributions such as Hortonworks Data Platform (HDP), Cloudera Distribution of Hadoop (CDH), HDInsights and Google Dataproc. He is also experienced in distributed processing technologies like MapReduce, Hive, Spark (SparkSQL, Streaming, Spark ML, PySpark, Scala) and serverless architecture such as Azure Functions, Cloud Functions, and Azure Website. Rajarshi has expertise in streaming technologies like Spark Streaming, Apache Kafka, Pub/Sub, and Event Hubs. He is knowledgeable in data pipeline technologies such as Shell Scripting, Airflow, Oozie, Azure Data Factory, Dataprep, and Beam. He is also experienced in storage technologies such as Microsoft Blob Storage, Google Cloud Storage, SQL Database, Cloud Spanner, BigTable, Table Storage, and Cloud SQL. Apart from cloud computing, Rajarshi is skilled in infrastructure technologies such as Docker and Ansible. He is also proficient in data science solutions such as R, Python, Spark, Cloud ML, Dockerized ML solutions, Serverless model deployments, and IBM CPLEX Optimizer. Rajarshi is passionate about building smart applications and end-to-end solutions. He is enthusiastic about exploring innovative ideas and developing them into full-scale solutions, fueling his drive towards making science fiction into reality. Rajarshi has previously worked at Microsoft as a Software Engineer and at Mastercard as a Software Developer. He holds a Bachelor of Technology (B.Tech.) in Engineering Physics/Applied Physics from the Indian Institute of Technology, Madras. He also holds a Senior School degree in Mathematics from Bharatiya Vidya Bhavan and a Grade 10 degree from Hariyana Vidya Mandir. Rajarshi's tech stack includes Software Engineering, Spark, ML, SQL, Azure, Hadoop, Ansible, Data Engineering, Apache Airflow, MapReduce, Big Data, Docker, Data Scientist, Kafka, GCP, infra, Python