About

Anshuman Varshney is a multidimensional professional with exceptional logical and analytical skills, currently working as a Technical Lead at Gameskraft. With over 4 years of experience in Backend Development, Data Engineering, Analytics, Intelligence, Data Warehousing, Data Lake, and Data Quality Management, Anshuman is an innovative thinker and initiative taker. Anshuman's main technologies include Java 8/11, Spring Boot, and Apache Spark, while he is also proficient in cloud technologies such as Amazon Web Services (AWS) - Redshift, RDS, EMR, LFM, Kinesis, Lambda, SQS, SNS, DynamoDB, Glue, Athena, S3, EC2, and Cloudwatch. He has extensive experience in data layer technologies such as Elastic Search, Amazon Redshift, Amazon RDS, Spring Data, Hibernate, MongoDB, Cassandra, PostgreSQL, MariaDB, and DynamoDB, as well as cache layer technology Redis. Anshuman has worked with integration technologies such as Kafka, Kinesis, EMR, Amazon SQS, and Airflow, while he is also proficient in testing technologies such as JUnit 4/5, Mockito, Spring Test, and Selenium. He has experience in ETL technologies such as S3, Amazon Glue, and Amazon Athena, and is comfortable with data formats such as CSV, PARQUET, JSON, and XML. Anshuman is also proficient in build and deploy technologies such as Docker, Maven, Gradle, and Jenkins, while he has experience in monitoring technologies such as Telegraf-InfluxDB-Grafana. He has experience in Agile development, Scrum, Trello, JIRA, Git, and GitLab, and is comfortable with tools such as IntelliJ, ATOM, and DBeaver. Anshuman has previously worked as a Senior Software Engineer at Gameskraft and as a Software Engineer at Coviam. He has a Bachelor of Technology (BTech) in Computer Science from SRM University. Anshuman's relevant experience is 5.11 years, and he has worked on projects related to Senior Software Engineering, AWS, Spring, Mobile, Amazon Athena, Selenium, infra, Backend, test, Web, Spark, Apache Airflow, Java, Spring Boot, Data Engineering, Software Engineering, Redis, MongoDB, Cassandra, Kafka, ETL, Docker, Elastic Search, Jenkins, Search, Integration, Research Scientist, Data