Abhishek Pandey is a Python Developer with 8+ years of experience in backend development, API design, and data pipeline management. He has a proven track record of utilizing modern technologies like Flask, Docker, and Kubernetes to deliver robust solutions.
Strong ownership over backend development and API design for web-based solutions.
Proven track record in data pipeline construction and management using modern tools.
Experience with containerization and MLOps, indicating modern deployment practices.
Adherence to PEP8 coding conventions and implementation of unit/regression testing frameworks.
Proficiency in database model design and advanced SQL operations.
Successfully developed interactive web-based solutions and APIs across multiple projects.
Implemented robust data pipelines and managed large datasets using modern tools.
Created containerized ML pipelines for a marketplace platform.
Successfully integrated third-party APIs and services for data ingestion.
Created and maintained unit and regression test frameworks.
Overview: Developed and maintained data warehousing solutions for a retail client (Carrefour A&P). Responsibilities: Used Python scripts to load sales data from diverse sources into a data warehouse. Created Flask-based REST APIs to facilitate Airflow DAG creation using templates. Managed Apache Airflow DAGs for data validation and movement processes. Addressed data migration challenges and adapted code for Linux to Windows environment transitions.
Key outcomes:
Successfully migrated code between Linux and Windows environments.
Managed data movement and validation using Airflow DAGs.
Overview: Developed backend components and data pipelines for an AI/ML marketplace platform. Responsibilities: Integrated Aimarketplace UI with backend using Python scripts and Flask-based REST APIs. Created Dockerized containers for ML pipelines and managed persistent volumes for Kubeflow. Implemented data ingestion using Apache Kafka, Apache Airflow, and Apache Nifi with MongoDB. Developed automated installation shell scripts for backend components and managed data flow within the platform.
Key outcomes:
Successfully containerized ML pipelines for Kubeflow.
Implemented robust data ingestion pipelines using Kafka, Airflow, and Nifi.
Overview: Built a user-friendly website interface and processed data for a financial services project. Responsibilities: Developed Views and Templates using Flask for a user-friendly website interface. Implemented Python for XML and JSON processing, data exchange, and business logic. Manipulated data from CSV into dataframes using the Pandas framework. Used Python scripts to update database content and manage files.
Key outcomes:
Created a user-friendly website interface with Flask.
Enabled efficient data exchange and business logic with Python for XML/JSON processing.
Overview: Developed interactive web-based solutions for a financial treasury project. Responsibilities: Built database models, APIs, and views with Python for an interactive web solution. Utilized Python data types like dictionaries for complex network algorithms. Performed mathematical operations with Python libraries and managed datasets using Pandas. Developed JSON-based REST Web services and created unit/regression test frameworks.
Key outcomes:
Built interactive web-based solutions using Python and custom APIs.
Implemented unit and regression test frameworks to ensure code quality.
ABHISHEK PANDEY
Python + GraphQL Developer