Hi, I am
Anurag Pandey

Delhi, India | (+91)-XX-XXXX-XXXX
Senior Data Engineer at Hexaview Technologies Inc. | 3.5+ YOE | Big Data | Databricks | PySpark | Hadoop | ETL/ELT | GCP BigQuery | Snowflake | AWS | Airflow | DBT | Looker | BHU'21

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

Senior Application Engineer

Hexaview Technologies Inc.
June 2022 - Present

Application Engineer

Hexaview Technologies Inc.
May 2021 - May 2022

Associate Application Engineer

Hexaview Technologies Inc.
November 2020 - May 2021

Web Development Intern

Utkarshini Edutech
December 2019 - February 2020

Education

Banaras Hindu University (BHU)

Master of Computer Application (MCA)

CGPA: 9.4/10

Participated in Chess in the University's annual tournament, and got a silver medal in 2nd position. Part of the Technical Committee member in Disha (an Annual Cultural Fest). Training and Placement Representative (TPR) of Batch 2018-21. Organized, managed & conducted various programming contests & tutorial sessions on data structures & algorithms in the Sanganan group. Published an article on "Blockchain: The new technology of trust" in BHU annual magazine, Interval.

2018 - 2021

Coursework

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

Skills

Programmig Languages
Databases
Version Control Systems
ETL
Distributed Computation Frameworks
Libraries
Data Warehouses
Reporting
Monitoring Tools
Workflow Management
Message Queue
CI/CD & Containers
Cloud platforms
Development Environments

Projects

SpamHam Classifier

GITHUB

A Machine Learning Web Application (Built with Flask) for classifying Emails and SMS into Spam and Ham.

Technology/Tools: Flask, Python, scikit-learn

Achievements

  • Always with us (2024) - Hexaview Technologies Inc., Jun 2024
  • Pat on the Back - Hexaview Technologies Inc., Jun 2024
  • Runner-up team for Inventech 2022 - Hexaview Technologies Inc., Nov 2022
  • 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 2nd 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+ content views.

Publications

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

The publication deals with databases in blockchain technologies and their scope in current trends 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 this, the demand for blockchain and related technologies will 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.

Coffee with me.

I'm always excited to work on some awesome projects. Message me and let's discuss it over coffee.

Location:

Delhi, India

Call:

(+91)-XX-XXXX-XXXX

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