Ganesh is available for hire
Hire GaneshGanesh Girase
Verified Expert in Engineering
Python Developer
Pune, Maharashtra, India
Toptal member since November 23, 2021
Bio
Ganesh has designed and implemented many software systems from scratch over the past 18+ years. As a software engineer, tech architect, and lead consultant, his industry experience includes cloud computing, finance, investment banking, security, and US tax systems. Ganesh has used and worked on a wide range of languages and tools, including Python, Go, Rust, Kotlin, Ruby, Perl, Django, Spring Boot, AWS, and DevOps.
Portfolio
Global Consulting Firm
Python 3, FastAPI, LangGraph, LangChain, AI Agents, Artificial Intelligence (AI)
Consulting Company
Agile, Go, Scala, Apache Airflow, Databricks, Iomete, Apache Kafka, ETL...
PepsiCo Global
Python, REST APIs, FastAPI, Back-end, Azure
Experience
- Python 3 - 15 years
- Databases - 15 years
- Agile Software Development - 10 years
- Linux - 10 years
- Django - 8 years
- Test-driven Development (TDD) - 7 years
- DevOps - 5 years
- Kotlin - 2 years
Preferred Environment
Python 3, Databases, Go, DevOps, System Design, Rust, Apache Airflow, Distributed Systems, Cloud
The most amazing...
...applications I've developed are reliable and scalable and have processed billions of transactions.
Work Experience
Design Lead
2026 - 2026
Global Consulting Firm
- Built an AI-driven price advisor platform using Python, LangChain, and LangGraph to enable dynamic pricing decisions through continuous competitor monitoring and automated recommendations.
- Designed multi-agent workflows for competitor data ingestion, normalization, and pricing intelligence; implemented web scraping pipelines and structured data storage for real-time pricing analysis.
- Developed a large language model (LLM)-based recommendation engine with business rules and stateful orchestration, exposed via Python REST APIs with real-time triggers, logging, and observability for scalable pricing operations.
Technologies: Python 3, FastAPI, LangGraph, LangChain, AI Agents, Artificial Intelligence (AI)
Design Lead
2026 - 2026
Consulting Company
- Led migration of ETL pipelines from Databricks to IOMETE, driving end-to-end architecture, planning, and execution to ensure seamless transition with minimal disruption.
- Developed and optimized Spark-based ETL jobs using Python and Scala. Leveraged Airflow for orchestration to improve pipeline reliability, scheduling, and maintainability.
- Contributed to Golang-based services supporting the data platform, enhancing system integration, performance, and scalability across the ETL ecosystem.
Technologies: Agile, Go, Scala, Apache Airflow, Databricks, Iomete, Apache Kafka, ETL, AI Tools, AI Agents
Python Engineer
2025 - 2025
PepsiCo Global
- Built RESTful API services using Python, FastAPI, and Pydantic for schema validation, implementing a stateless microservices architecture with comprehensive error handling and logging.
- Developed a mathematical optimization engine using CVXPY and NumPy for constraint-based resource allocation, handling Mixed-Integer Linear Programming (MILP) problems with multiple solver backends.
- Designed and implemented a database-free data processing pipeline using Pandas for ETL operations, data transformation, and in-memory analytics with graceful handling of edge cases.
- Created OpenAPI/Swagger documentation and API contract specifications, implementing middleware for request validation, error handling, and standardized response formatting.
- Migrated legacy Django ORM-based system to API-driven architecture, eliminating database dependencies and improving scalability through stateless design patterns.
Technologies: Python, REST APIs, FastAPI, Back-end, Azure
Technical Lead
2023 - 2025
German Auto Maker
- Led design and development of a scalable navigation map packaging platform for a German automotive client, enabling efficient multi-region delivery and high-throughput processing.
- Architected a distributed system using Go, PostgreSQL, and MongoDB. Built robust workflows with versioning, improving reliability, data consistency, and update efficiency.
- Drove performance optimizations and provided technical leadership, mentoring team members, and aligning architecture with scalability, maintainability, and business goals.
Technologies: Go, Vue 3, MongoDB, Rust
Python and SDLC Developer
2022 - 2023
Woven Alpha - Main
- Migrated legacy applications to a new design, which is more robust, modular, and efficient. Also, a new application was developed following best software practices like Clean Code, TDD, code reviews, etc.
- Added different versions of map specifications to support customer releases with quality deliverables.
- Designed and developed the architecture of a new application, which is migrated from an old legacy application to a new design application.
Technologies: Python, SQL, Relational Data Mapping, CI/CD Pipelines, Geoinformatics, Architecture, Algorithms, Databases, Python Asyncio, Technical Leadership, Git, Build Processes, Mypy, Back-end, Asyncio, Containers, GitHub, Python Script, Scripting, SQLAlchemy, Async/Await, Terraform, Geospatial Data, Mapping, Amazon S3 (AWS S3), Amazon Simple Queue Service (SQS), Object-oriented Programming (OOP), Unit Testing, Jira, Agile, Amazon Aurora, Optimization, Message Queues, Testing, Amazon RDS, Multiprocessing, ECS, API Development, Technical Architecture, Docker, Mathematics
Lead Consultant
2020 - 2022
ThoughtWorks
- Created digital journeys for retail banking customers through microservices. For the front end, I used React/Native. For the back end, I used a combination of Python and Go programming languages and databases such as MongoDB and DynamoDB.
- Handled a data mesh project for a top-notch pharmaceutical client. Designed and developed products to generate data products from various sources. Technologies included Informatica, Python, Spark, Flink, Starburst, Ranger, DynamoDB, and PostgreSQL.
- Migrated legacy products written in C/C++ to Rust, along with new architecture and design. Processed streams for live analytics using Kafka, Flink, and Spark for data enrichment and real-time machine learning model training.
Technologies: Kotlin, Spring, MongoDB, DevOps, Apache Kafka, Python 3, Python, Rust, Go, REST, Python Asyncio, Technical Leadership, Git, Amazon Web Services (AWS), Build Processes, Distributed Systems, Scalability, Metrics, JavaScript, AWS SDK, Object-relational Mapping (ORM), Lambda Functions, Back-end, Distributed Software, Large-scale Distributed Systems, FastAPI, Amazon DynamoDB, Event-driven Architecture, Stream Processing, Event-driven Programming, API Platforms, RabbitMQ, Containers, GitHub, Redis Cache, Python Script, Microservices Architecture, Infrastructure as Code (IaC), Scripting, Data Engineering, Databricks, Apache Spark, API Observability, Data Pipelines, Domain-driven Development, React, Team Leadership, Beautiful Soup, Full-stack, Vue, Redis, Vue 3, Async/Await, TypeScript, Azure, WebSockets, Integration, Terraform, PostgreSQL, Amazon EKS, Amazon S3 (AWS S3), Amazon Simple Queue Service (SQS), Amazon Elastic Container Service (ECS), Object-oriented Programming (OOP), Unit Testing, Jira, Agile, Redshift, Amazon Aurora, Optimization, Message Queues, Testing, Amazon RDS, AWS CloudFormation, Multiprocessing, ECS, API Development, Technical Architecture, Amazon EC2, Data Integration, GraphQL, Docker, Celery, Finance
Senior Technical Lead
2019 - 2020
Incedo Technology Solutions Pvt. Ltd.
- Orchestrated a migration project from desktop-based to AWS with a new design, architecture, and technologies.
- Created the technical roadmap for product and mentored the team and performed a feasibility study of Apache Pulsar, Apache Kafka and Flink to perform better stream processing. Developed stream processing platform.
- Created stream processing platform to read live stream data from network devices, server and application logs using Flink and Spark. Launched the MVP within the first six months and migrated the userbase to the cloud connection.
Technologies: Python 3, Apache Kafka, Amazon Web Services (AWS), Django, Python, REST, Asyncio, Python Asyncio, Technical Leadership, Git, Build Processes, Distributed Systems, Scalability, AWS SDK, Object-relational Mapping (ORM), Lambda Functions, Back-end, Distributed Software, Large-scale Distributed Systems, Amazon DynamoDB, Flink, Apache Pulsar, Kafka Streams, Event-driven Programming, API Platforms, Containers, GitHub, Python Script, Bash Script, Microservices Architecture, Infrastructure as Code (IaC), Scripting, SQLAlchemy, Data Pipelines, Domain-driven Development, Team Leadership, Beautiful Soup, Vue 2, Vue 3, Async/Await, Azure, WebSockets, Integration, Terraform, PostgreSQL, Amazon EKS, Amazon S3 (AWS S3), Amazon Simple Queue Service (SQS), Amazon Elastic Container Service (ECS), Object-oriented Programming (OOP), Unit Testing, Jira, Agile, Optimization, Message Queues, Testing, Amazon RDS, Multiprocessing, ECS, API Development, Technical Architecture, Amazon EC2, Data Integration, GraphQL, Docker, Celery
Software Programmer
2019 - 2019
Avira
- Developed a data pipeline framework to run machine learning algorithms on files to identify malicious content.
- Added many feature enhancements to the data pipelines.
- Converted the legacy codebase to the new framework to increase performance and make it easy to maintain.
Technologies: Python 3, Amazon Web Services (AWS), DevOps, Docker, Python, Python Asyncio, Git, AWS SDK, Back-end, Containers, GitHub, Python Script, Bash Script, Data Pipelines, Beautiful Soup, Amazon Elastic Container Service (ECS), Agile, Mathematics, Optimization, Testing, AWS CloudFormation, Multiprocessing, ECS, API Development, Technical Architecture, Amazon EC2, C++
Technical Lead
2016 - 2019
Xoriant
- Developed and implemented new features for the Nutanix file server, managed the team, and provided technical mentorship.
- Created a recommendation engine for SAP using various machine learning algorithms and tools.
- Provided the roadmap to add new features to the machine learning library and framework.
Technologies: Python 3, File Servers, Machine Learning, Hypervisors, Automation, Python, Python Asyncio, FastAPI, Technical Leadership, Git, Distributed Systems, Scalability, Back-end, Distributed Software, Large-scale Distributed Systems, API Platforms, Containers, GitHub, Redis Cache, Bash, Python Script, Bash Script, Microservices Architecture, Infrastructure as Code (IaC), Scripting, Data Pipelines, Team Leadership, WebSockets, Integration, Amazon S3 (AWS S3), Amazon Simple Queue Service (SQS), Amazon Elastic Container Service (ECS), Object-oriented Programming (OOP), Unit Testing, Jira, Agile, Redshift, Optimization, Testing, Multiprocessing, ECS, API Development, Technical Architecture, Mathematics
Senior Application Developer
2016 - 2016
SG Analytics Pvt. Ltd.
- Designed and implemented a data processing engine for a hedge fund company.
- Managed a team of 3-4 people and provided technical mentorship.
- Implemented various financial algorithm libraries on hedge fund data.
Technologies: Python 3, Hedge Funds, Python, Back-end, Containers, Python Script, Bash Script, Selenium, Website Data Scraping, Amazon Simple Queue Service (SQS), Mathematics, Optimization, Testing, Finance, C++
Senior Technical Specialist
2009 - 2016
FIS Global
- Designed, developed, and implemented various features from scratch in a tax generation product for US forms, such as 1099, 1042S, 2439, and IRA, using several programming languages, tools, and techniques.
- Reduced the time required to process billions of transactions by using parallel processing and distributed computing, which helped the client save significant costs and make fast decisions.
- Provided production support during tax season to generate millions of tax forms for clients that use the products and oversaw E2E delivery.
Technologies: Perl, Python 3, Ruby, Birt Report, Distributed Systems, Parallel Programming, Python, Tax Systems, ETL, Scalability, Back-end, Large-scale Distributed Systems, API Platforms, Containers, Bash, Python Script, Bash Script, Microservices Architecture, Team Leadership, Selenium, Data Scraping, Website Data Scraping, Agile, Optimization, Finance
Senior Programmer
2007 - 2008
Larsen & Toubro Infotech
- Developed scripts in Perl, Unix, and Sybase to generate banking reports.
- Handled monthly release cycles to extend features in banking products.
- Wrote several core libraries to provide common functionalities and minimize effort for developers.
Technologies: Perl, Unix, Sybase, Back-end, Bash, Data Scraping, Mathematics, Finance, C++
Application Programmer
2005 - 2007
Centre for Monitoring Indian Economy (CMIE)
- Developed many web crawlers to extract data from websites.
- Created an upload system to clean and upload data into a database per functional mapping.
- Developed database procedures to run business logic and generate automated financial reports.
Technologies: Perl, Unix, Sybase, Bash, Data Scraping, Finance, C++
Experience
US Tax Reporting
A framework for generating US tax reports based on millions of transactions as per timeframes in the SLA. I developed this masterpiece, which the client can use in various projects to run jobs in a parallel and distributed fashion.
Education
2005 - 2008
Master's Degree in Information Technology
University of Mumbai - Mumbai, India
Skills
Libraries/APIs
Beautiful Soup, Vue 2, Vue 3, API Development, REST APIs, Pandas, Asyncio, Python Asyncio, SQLAlchemy, React, Vue, Reactor, Mypy
Tools
Git, Amazon Simple Queue Service (SQS), Amazon Elastic Container Service (ECS), Jira, AWS CloudFormation, Celery, AWS SDK, Kafka Streams, RabbitMQ, GitHub, Amazon EKS, Terraform, Birt Report, Flink, Apache Airflow
Languages
Python 3, Python, GraphQL, SQL, Go, Rust, Python Script, JavaScript, Bash, Bash Script, C++, Kotlin, Ruby, Perl, TypeScript, Scala
Frameworks
Django, Selenium, Apache Spark, Flask, Spring, LangGraph
Paradigms
REST, Domain-driven Development, Object-oriented Programming (OOP), Unit Testing, Agile, Testing, Test-driven Development (TDD), Microservices, Lambda Architecture, ETL, Object-relational Mapping (ORM), Event-driven Architecture, Event-driven Programming, Microservices Architecture, API Observability, Agile Software Development, DevOps, Automation, Parallel Programming
Platforms
Docker, Apache Kafka, Amazon Web Services (AWS), Azure, Amazon EC2, Kubernetes, AWS Lambda, Databricks, Linux, Unix, Apache Flink
Storage
Databases, MongoDB, Redis Cache, Data Pipelines, Amazon S3 (AWS S3), Redshift, Amazon Aurora, Data Integration, PostgreSQL, MySQL, NoSQL, Amazon DynamoDB, Redis, Sybase
Other
APIs, Architecture, Code Review, Source Code Review, Web Scraping, Back-end Development, Algorithms, FastAPI, Back-end, API Platforms, Containers, Infrastructure as Code (IaC), Scripting, Team Leadership, Full-stack, Data Scraping, Async/Await, Website Data Scraping, WebSockets, Integration, Geospatial Data, Mapping, Optimization, Message Queues, Amazon RDS, Multiprocessing, ECS, Technical Architecture, Finance, AI Agents, Distributed Systems, Fintech, Software Architecture, Software System Architecture Development, Serverless, Multithreading, Technical Leadership, Build Processes, Scalability, Metrics, Lambda Functions, Distributed Software, Large-scale Distributed Systems, Stream Processing, Data Engineering, Artificial Intelligence (AI), File Servers, Machine Learning, Hypervisors, Hedge Funds, Tax Systems, System Design, Data Structures, Relational Data Mapping, CI/CD Pipelines, Geoinformatics, Apache Pulsar, Mathematics, Iomete, AI Tools, Cloud, LangChain
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