Pramod Toraskar

Experience

• 

  RMS India

  Jan 2002 - Jan 2003

  Field Support Technician

  Demo Healthcare Medical Devices & Explain End to end use to the Doctors.

• 

  RMS India

  Jan 2004 - Jan 2005

  Field Support Technician

  Demo Healthcare Medical Devices & Explain End to end use to the Doctors. & Technician, Diagnostic Center Medical Collage.

• 

  SNS Technologies (now Forgeahead Solutions)

  Jul 2010 - Jun 2012

  Software Engineer

  As a skilled professional focused on the design and creation of software, also focused on interacting with both business functions and programmers, Good excellent communication skills and I enjoy working as part of a team. Never bothered to explain business functions to programmers and technology restraints to non-technical business members or managers.

• 

  Persistent Systems

  Jun 2012 - Nov 2014

  Design and develop programming systems making specific determinations about system performance.Review, repair and optimises legacy system code.Coordinate with team to analyze system specifications and system requirements.Responsible for implementing new programs and assure production of a quality product.Document code consistently throughout the development process by listing a description of the program, special instructions, and any changes made in database tables on procedural, modular and database level. Show less

  • Module lead

    Jul 2014 - Nov 2014

  • Senior Software Engineer

    Jun 2012 - Jun 2014
• 

  Cybage Software

  Dec 2014 - Dec 2015

  Senior Software Engineer

  Worked on various phases of Product development Life Cycle in a variety of technical areas like design, prototyping, and development.Worked in programming languages like Python.Worked on Big data ecosystem tools such as Apache Hadoop, Apache SparkPython, Flask, Nginx, Amazon Web Services like ELB, EC2, Kinesis, Redis, S3, EMR, Cassandra, Spark, SQS, SNS, CloudFormation. Intermediate experience in NoSQL databases like MongoDB, Cassandra.Have used project tools like Jira, Bitbucket, GIT, Pycharm, SonarQube. Show less

• 

  Red Hat

  Dec 2015 - now

  As a Leading Data, Platform | ML & AI Practitioner, and Principal Engineer at Red Hat, I drive data-driven marketing strategies by leveraging advanced data solutions, platform engineering, and ML and AI.Key Responsibilities:- Leadership and Strategy: - Lead teams in designing and implementing data and platform solutions for marketing. - Define strategic directions for ML and AI initiatives aligned with marketing goals. - Mentor team members to foster continuous improvement.- Data and Platform Engineering: - Develop scalable data pipelines and platforms for marketing analytics. - Ensure data platform reliability, performance, and security. - Translate marketing data needs into technical requirements.- Machine Learning and AI: - Build solutions using ML and AI models for customer segmentation, predictive analytics, and personalization. - Stay updated on ML and AI advancements and best practices. - Integrate ML and AI solutions into marketing platforms.- Marketing Data Analytics: - Optimize marketing through data-driven insights and ML. - Create dashboards and reports for actionable marketing insights. - Analyze customer data for trends and personalized marketing strategies.- Innovation and Problem Solving: - Implement automation and optimization in marketing data processes. - Resolve technical issues with minimal disruption. - Adopt new tools to enhance marketing data capabilities.- Collaboration and Communication: - Align technical solutions with marketing objectives. - Communicate technical concepts to non-technical audiences. - Promote collaboration and knowledge sharing.Achievements:- Led the migration of marketing data systems to cloud-based platforms, improving performance and insights.- Developed ML models enhancing customer segmentation and predictive analytics.- Implemented data governance and security frameworks for compliance. Show less • Establish and execute best practices to ensure data integrity, including the design, analysis, validation, coding, and deployment of tests.• Create, test, and deploy ETL processes and Kafka streaming applications that validate data accuracy and ensure efficient data flow.• Contribute to the enhancement and maintenance of Python libraries that support Enterprise Data Management and Kafka streaming tools.• Collaborate with stakeholders to gather requirements and transform them into detailed technical specifications.• Collaborate with cross-functional scrum teams to develop, test, deploy, and maintain scalable solutions using container-based technologies.• Develop ETL workflows that deliver tangible value to Marketing and CRM Sales Cloud teams.• Enhance performance, scalability, and reliability of Enterprise Data Pipelines and Kafka streaming applications.• Engage in tier 2 investigations, working alongside a data anomaly team to analyze and address platform queries.• Resolve complex Marketing Data Issues through systematic troubleshooting.• Build and implement automated unit, end-to-end, and integration tests to ensure quality assurance.• Establish system health monitoring, reporting, and actionable alerts.• Architect data systems for efficient data ingestion, processing, and presentation in large-scale applications catering to marketing needs.• Foster a culture of continuous learning and improvement within the team.• Stay updated with the latest advancements in streaming technologies, data management, and industry best practices. Show less Design and Builds Data Architectures for ingestion, processing and surfacing data for large-scale data intensive applications.Contribute more to have visible technical impact on key elements of marketing operation business, strategic direction, improving time-to-market, cost reduction and/or address unmet needs.Enhance technical components of key marketing system.Identify and work in multiple complex technical areas and contributes accordingly on complex problems/projects, where analysis of situations or data requires an in-depth evaluation of multiple factors – including system design programming interfaces and inter-dependencies.Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.Effectively collaborates, builds relationships and influences team members to work towards common goals.Directly involved in the planning initiatives. Accurately predict schedules and independently lead a technical team to on-time delivery.Lead efficient meetings, explain data & technical details to non-technical audiences, and balance collaboration with getting-things-done.Develop integrations using a service-oriented-architecture (e.g., REST API) and various business rules engines including custom rules.Monitor and maintain data quality within the marketing database and troubleshoot escalated issues.Contribute to detailed technical documentation, including, but not limited to: user stories, data-flow diagrams, entity-relationship diagrams, statements of work, and blog posts.Create and run manual test cases and implement automated testing wherever possible.Interact with 3rd party API’s (e.g., Salesforce, Eloqua, ServiceNow) to enhance and automate tasks.Create and maintain NoSQL (e.g., MongoDB) and SQL (eg., MySQL, PostgreSQL, MariaDB) databases. Show less

  • Leading Data, Platform | Principal Engineer at Red Hat

    May 2024 - now

  • Senior Data Engineer

    Aug 2022 - May 2024

  • Principal Data/Software Engineer

    Jan 2018 - Dec 2022

  • Senior Data/Application Developer (Marketing Data Applications)

    Dec 2015 - Dec 2017