Aravinda Saasipilli
Director @Deloitte
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WORK HISTORY
Director @Deloitte
Hyderabad, IN
I’m a Director at Deloitte, leading SAP S/4HANA data migration and digital transformation programs for global enterprises across manufacturing, logistics, Retail, Consumer Goods, UtilitiesWith over 17 years of experience, I bring deep expertise in: Leading end-to-end data migration strategy and execution for S/4HANA transformation programs across global clients Solution architect for large-scale greenfield/brownfield SAP migrations, covering data design, extraction, cleansing, validation, and load🤝 Partnering with business and technology leaders to embed data quality frameworks, drive harmonization, and ensure regulatory compliance Spearheading go-to-market initiatives, industry PoVs, and internal capability development for Data Migration offerings Coaching and mentoring cross-functional teams, fostering a high-performance culture focused on innovation, quality, and continuous learningThroughout my career, I’ve helped organizations unlock the power of trusted data, acting as a bridge between technology and business. I’m equally passionate about coaching high-potential talent, fostering collaboration, and creating teams that thrive under pressure and deliver measurable outcomes.
EDUCATION
B.R.R&G.K.R Chambers degree college
Bachelor of Science (B.Sc.), Chemistry
B.R.M.V.Girls High School
Class 6th to 10th
Birla Institute of Technology and Science, Pilani
Master of Science (MS), software Engineering
St.theresa College for Women
Intermediate, M.P.C
SKILLS
ABOUT ARAVINDA SAASIPILLI
Having 16 Years of experience in IT industry and have been involved in design, coding, debugging, analysis, development and implementation of Software Applications in Data Quality, Migration and Data warehousing Technologies.• Worked at client location (UK) as Data Migration Lead and Architect to deliver Data Quality, Migration, Integration and Archiving solutions.• Strong experience in working directly with business clients driving requirements workshops, finalization and prioritization of requirements and requirements negotiations with the business stakeholders• Acted as Functional data expert (SME) for all SAP functional modules such as OM, MM/ENG, QM, SRC, FI, Log etc. and complete knowledge on end to end business processes right from order to cash and procure to pay and experienced in collaborating with functional Information leads, business process owners (super/power users) to get the data requirements clearly identified• Working as solution provider for data migration/transition requirements from multiple businesses across the organization• Developing and implementing solid guide lines, procedures and processes, ensuring data quality improvement through data stewardship, mitigating non co-operation and data issues that impact the business, helping with technical issues and aligning IT to the business goals that deliver business value by developing realistic time scales for obtaining data• Took broad responsibility for driving alignment across multiple business functional areas to define and execute Data migration scope and deliverables for large and complex projects• Working closely with business to translate business needs into measurable data objects• Act as a focal point and SME for issues related to data domain (accuracy, completeness, timeliness, consistency and validity) for a given function. Responsible for providing Data Stewards/DQ experts/Data solution designers to ensure global data processes are aligned with business requirements• Drives the requirements elicitation process where necessary, identifying what stakeholder input is required, obtains formal agreement from a large and diverse range of potential stake holders and recipients to the scope and requirements, plus the establishment of a base line on which delivery of a solution can commence•Being a data Architect responsible to develop and maintain the right meta data, master data, data quality parameters, data lineage, KPI reports to ensure that data is governed, consistent, reliable and easily accessible for decision making
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