Hi, I am

Anurag Pandey

Experienced Data Engineer with 3.5+ years of experience in Data Engineering, specializing in handling and building high data load pipelines having TeraBytes of data, with Batch & real-time frequency. In-depth experience in analyzing business and use cases and building resilient solutions to drive business.

Hands-on experience with building products and solutions from the ground up, architectural planning, and driving data quality & cost-saving initiatives.

Got good exposure to different Big Data frameworks (Hadoop, Spark, Hive, Databricks), Databases (MySQL, MS SQL Server, PostgreSQL, MongoDB), Data Warehouses (Snowflake, BigQuery), Message Queue (Confluent Kafka), ETL (DBT, Stitch, SSIS), AWS Services ( S3, EMR, Lambda, CloudWatch, DynamoDB, Athena, Glue, SNS, SQS, Kinesis, Step Function), Monitoring Tools (PagerDuty), Workflow Management (Airflow), Reporting (Looker, Power BI), CI/CD & Containers (Jenkins, GitHub Actions, Docker), Good command over programming languages (Python, Java, SQL, Shell Scripting) and strong Data Structures & Algorithm fundamentals.

I'm passionate about assuming responsibility and collaborating closely with business teams and stakeholders.

Experience

Education

Coursework

• Competitive Programming
• Data Structures and Algorithms
• Operating Systems
• Object Oriented Programming
• Database Management Systems
• Computer Networks
• Software Engineering
• Blockchain

Skills

Projects

Achievements

• Remote Champion Award (Q2 -2021) - Hexaview Technologies Inc., Jul 2021
• Pat on the Back - Hexaview Technologies Inc., Jun 2021
• Pat on the Back - Hexaview Technologies Inc., Apr 2021
• Holds 2^nd position (silver medalist) in BHU annual chess tournament 2019.
• Training & Placement Representative (TPR) of 2018-21 batch.
• Published an article on "Blockchain: The new technology of trust" in BHU annual magazine, Interval 2020.
• Organized, managed & conducted various programming contests & tutorial sessions on data structures & algorithms in Sanganan group.
• Member of Tech Team in Disha, Cultural Fest of BHU 2019.
• Blogger on Quora with 350k+ views on answers.

Publications

• Blockchain, Big Data and Machine Learning Trends and Applications (Blockchain Databases 2): Anurag P., Abhishek K., Achintya S., N. Gayathri, and S. Rakesh K. Published by CRC Press, Taylor & Francis Group, 2020.



The publication deals with the concept of databases in blockchain technologies and its scope in current trend and scenarios. Blockchain database is a conveyed database that maintains a persistently growing tamper-proof data structure blocks which hold batches of individual transactions, without any involvement of third parties. Due to which the demand for blockchain and related technologies is going to increase more in the coming days. Here, many concepts are discussed thoroughly like BigchainDB, file storage in BigchainDB, smart contracts, transaction concepts and permissions, privacy in blockchain databases and many others with its future aspects.

My Publication

Coffee with me.