Hare Krishna Panda
AI & Data Engineering Manager | Analytics | Solution Architecture | Project Management | Data Warehousing | Data Modeling | Requirement Gathering | Leadership Acumen
- Role
- Data Engineering Manager at Accenture
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Hare Krishna Panda
I am a result-oriented Technically-Inclined IT Executive with extensive experience of…
Experience
Data Engineering Manager
Dec 2019 — Present · Bangalore, IN
In my present capacity, I am accountable for handling the requirement gathering and orchestrating meetings with various stakeholders to validate proposed solutions by liaising with the clients and functional experts. I also achieve continuous productivity improvements, service quality, and customer satisfaction by delivering architecture & solution design consultancy.My other job duties include the following: Build, and integrate the information systems to meet the company’s needs. Assess the systems architecture currently in place and work with technical staff to recommend solutions to improve it. Address, and resolve all the technical problems as they arise. Identify gaps or problems within the client’s systems. Continually research the existing and emerging technologies and propose changes where needed. Establish the client’s business strategy and technical needs. Develop IT solutions to meet those needs. Take on the role of a Lean-Agile leader, defining architectural designs to guide and contextualize solution development Function on changing an existing system to a new one while ensuring that the improved version works with existing systems. Provide technical advice to clients and maintain ongoing relationships with them. Provide thought leadership in emerging technologies to the Solutions Architecture team. Elicit requirements from business stakeholders and developers using interviews and requirement gathering sessions. Manage a whole gamut of functions, including gathering requirements and functional specifications, assessing the current software systems to identify areas needing improvement, and overseeing development teams. Entrust with the overall accountability of formulating the Machine Learning models and managing the data misbalancing by functioning on data processing techniques for making the data useful.
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