Summary

• Software Engineer with 20 Years of Experience, adept at developing high-performance API-driven publishing services, optimizing for 10M monthly pageviews, and leading cross-functional teams.
• Demonstrated expertise in full-stack development, AWS infrastructure, and effective leadership, successfully delivering 8+ mobile applications within 2 years.
• Proficient in designing and implementing user-friendly systems, databases, and reporting systems, resulting in valuable knowledge across various technologies.
• Skilled in optimizing e-commerce platforms, facilitating efficient trade tracking, and developing comprehensive data infrastructure for analytics solutions.

Technical Skills

Programming Languages: Python, JavaScript, Shell Scripting

Frameworks & Technologies: Django, Flask, Apache Spark

Databases: SQL, PostgreSQL, Redis, Pandas

Cloud Platforms: AWS, Azure

Tools & Libraries: Git, Celery, Pandas, Power BI

API Development & Integrations: RESTful APIs, API Integrations

Data Science & Analytics: Data Analysis, Machine Learning, Option Strategies, Stock Market Analysis

Business Tools: Zoho, Odoo

Team Management: Leadership, Collaboration, Project Management

Work Experience

Devlux Software Studio & Startup Ventures Pvt. Ltd:
Role: Tech-lead

Responsibilities:

• Zoho, Odoo Customization & Development: Customized Zoho and Odoo modules, including custom fields, workflows, and functions.
• E-commerce and CRM Platform Development: Built and maintained a comprehensive e-commerce and CRM platform for Sport Dog Food, optimizing order processing, enhancing inventory management, and customer and lead management.
• API Integration: Developed integrations between various applications and Zoho and Odoo, ensuring data consistency and seamless communication.
• Data Analysis & Reporting: Created detailed reports using Zoho, Odoo’s reporting tools, and custom SQL queries to provide actionable insights.
• Team Leadership: Led a team of 10 engineers across API development, iOS and Android development, and QA.

 

Sport Dog Food (USA):

Responsibilities:

• Developed a comprehensive e-commerce platform tailored for sportdogfood.com focusing on optimizing order processing, fortifying inventory management, and enhancing reporting capabilities.
• Created a user-friendly e-commerce website for seamless product browsing, order placement, and secure online payments to foster a positive shopping environment.
• Implemented a robust order management system automating order processing, tracking, and fulfillment, contributing to heightened customer satisfaction.
• Incorporated secure payment gateways to facilitate smooth and secure transactions, including tracking transactions, managing refunds, and ensuring financial accuracy.
• Established a sophisticated inventory management system to monitor stock levels, manage product variations, and automate reorder processes, minimizing stockouts and overstock situations.
• Integrated logistics solutions to optimize shipping processes, incorporating real-time tracking and coordination for timely and reliable product delivery.
• Incorporated accounting systems to automate financial processes, including invoicing, expense tracking, and financial reporting, ensuring accurate financial records.
• Developed a comprehensive reporting module for top management, providing insightful analytics on key performance indicators (KPIs) such as sales trends, inventory turnover, and customer behavior.
• Implemented automation throughout the platform, including automated order processing, inventory updates, and reporting generation, to enhance operational efficiency and reduce manual intervention, including data engineering.
• Ensured effective team collaboration and adherence to project timelines, leveraging the team's expertise to implement industry best practices and deliver a high-quality, integrated solution.
• The project delivers a feature-rich e-commerce platform with end-to-end capabilities, spanning from order placement to inventory management, logistics, and financial reporting. The strategic implementation of automation improves efficiency and accuracy, ensuring a seamless and high-performing e-commerce experience for both the business and its customers.
• Developed a location-based business solution for SDF on Long Island, New York, utilizing Django for API and frontend development, integrating custom modules, managing data with Redis, MySQL, and PostgreSQL, automating tasks with Celery, deploying on AWS, and collaborating for effective problem-solving and high code quality.

Skills: Python, Django, SQL, AWS, API, Team Management, Git, Problem Solving, Pandas, E-Commerce Optimization, PostgreSQL, Redis, JavaScript, Celery, API Integrations, Zoho, Odoo

 

Option Chain Data Analysis and ETL:

Responsibilities:

• Developed an automated system for extracting, transforming, and loading option chain data from various sources for an index.
• Utilized Python programming language along with Pandas and NumPy for data processing and analysis.
• Built a custom dashboard to visualize key metrics and insights for improved decision-making in index trading strategies.
• Conducted data analysis to identify patterns and trends in the option chain data.
• Possesses experience in team management.
• The automated system provides real-time data and analysis, enhancing decision-making capabilities for index trading strategies.
• Developed an automated ETL system in Python using Pandas and NumPy for option chain data extraction, transformation, and loading for an index.
• Conducted data analysis to identify patterns and trends in the extracted data.
• The project streamlined processes, increased efficiency, and enhanced overall trading effectiveness.
• Created a real-time dashboard for visualizing key metrics, improving decision-making for index trading strategies.

Skills: Python, Django, SQL, AWS, API, Team Management, Git, Problem Solving, Pandas, Data Analysis, Git, Shell Scripting, Stock Market, Option Strategies

 

TradeLog:

Responsibilities:

• Developed a user-friendly trade log web application using Python and the Django framework.
• Designed to assist day traders in recording, organizing, and analyzing their trades.
• Implemented real-time data feeds from multiple exchanges for prompt trade recording and up-to-date performance metrics.
• Facilitated performance analysis by providing tools to review and assess trading activities over time.
• Empowered users with actionable insights into their trading behavior and outcomes for informed decision-making.
• Streamlined the trade recording process for efficient and accurate record-keeping for day traders.
• Supported day traders in refining and optimizing their trading strategies based on historical performance data.
• Enabled easy access to the trade log application through a web interface, fostering convenience for users.
• Implemented robust user authentication and security measures to safeguard sensitive trading data.
  The successful implementation of the trade log web application has provided day traders with a valuable tool for effective trade tracking, analysis, and performance improvement.

Skills: Python, Django, SQL, AWS, API, Team Management, Git, Problem Solving, Pandas, Data Analysis, Git, Shell Scripting, Machine Learning, Data Analysis, Power BI

 

Mobile and Web Analytics Solution:

Responsibilities:

• Designed and developed APIs to collect data from various mobile and web applications using Django.
• Developed and maintained data pipelines, ETL processes, and data integration workflows.
• Implemented database structures to organize data effectively and enable efficient downstream data science and analytics.
• Collected all raw data from clients using Apache Kafka and processed it using Apache Spark and Python.
• Stored processed data into Redis cache, MongoDB, and MySQL.
• Assisted in the implementation and administration of traditional BI applications, such as Power BI.
• Designed and developed APIs using Django for data collection from mobile and web applications.
• Implemented and maintained data pipelines and ETL processes for efficient data movement and transformation.
• Designed and implemented database structures for effective data organization.
• Collected raw data from clients using Apache Kafka for real-time or near-real-time data processing.
• Processed collected data using Apache Spark and Python, indicating big data processing for handling large volumes.
• Stored processed data in Redis cache, MongoDB, and MySQL for various data storage purposes.
• Assisted in implementing and administering traditional BI applications, such as Power BI, for data visualization and analysis.
  Developed a comprehensive data infrastructure facilitating efficient data management and analysis for downstream applications.

Skills: Python, Django, Redis, Apache Spark, SQL, AWS, API, Team Management, Git, Power BI

 

Healthbot Admin Panel:

Responsibilities:

• Developed an admin panel in Django Python Web Framework to manage bot configurations and appointments.
• Extensively utilized Django technologies, including forms, templates, and ORM for communication with databases in different forms while using validators, and actions using Django 3.2 frameworks.
• Used Python and Django to interface with JavaScript and TypeScript.
• Stored data into Redis and PostgreSQL.
• Managed end-to-end data pipelines, including data collection, storage, access, and data engineering (data quality, ETL, data modeling).
• Utilized Celery for handling periodic tasks like sending notifications.
• Utilized Django technologies, including forms, templates, and ORM, for seamless communication with databases.
• Integrated Python and Django with JavaScript and TypeScript for a combination of server-side and client-side technologies.
• Stored data in Redis for caching and PostgreSQL for structured data storage.
• Managed end-to-end data pipelines, covering data collection, storage, access, and data engineering tasks like data quality checks, ETL processes, and data modeling.
• Utilized Celery for handling periodic tasks, such as sending notifications, suggesting the implementation of asynchronous processing for background tasks.
• Deployed the application over AWS (Amazon Web Services) for a cloud-based deployment strategy, ensuring scalability and accessibility.
• Delivered an admin panel using Django for configuration and appointment management.

Skills: Python, Django, Redis, PostgreSQL, Azure, API, Team

Certifications

• Python On Machine Learning
• Google Analytics Individual Qualification