Priyanshi
Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 5+ years in Data Governance & AI Applications
AI-enabled Data Engineer with 5.8+ years of experience in Informatica (IICS/PowerCenter), PLSQL, and enterprise data platforms, specializing in Revenue Management large-scale data processing, governance, and regulatory-compliant systems along with US Veeva Sales. Proven track record of managing ~100+ ETL pipelines processing millions of records, supporting critical revenue management systems and reconciliation with high accuracy, auditability, and reliability. Experienced in working directly with clients, business stakeholders, and onsite teams, delivering scalable data solutions in high-stakes, compliance-driven environments. Actively exploring Generative AI applications, prompt engineering, RAG-based approaches, AI-assisted productivity tools to enhance reporting, documentation and data accessibility workflows. Therefore, accelerate business insights.
KIIT University
B.Tech · Electronics & Electrical Engineering
August 1, 2016 – June 30, 2020
Radiant International School
Grade 10, +2
N/A – Present
Accenture
Data Governance & Management Engineer
August 1, 2020 – Present
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate's long tenure at Accenture indicates stability and experience in a professional, client-facing environment. There is strong alignment with the target Data Engineer role, with a clear focus on data quality, governance, and scalable solutions. The proactive engagement with Generative AI technologies demonstrates a forward-thinking and adaptable mindset, suitable for an innovative team. Experience in high-stakes, compliance-driven environments suggests a strong sense of responsibility and adherence to best practices.
Soft Skills & Operational Fit
The candidate demonstrates strong client and stakeholder management skills, regularly driving business calls and collaborating with onshore teams. They are a proactive problem-solver, evidenced by automating operational workflows and developing ticket resolution tools. Meticulous attention to detail is shown in comprehensive testing across environments, documentation, and ensuring data accuracy. The candidate exhibits a growth mindset and initiative through self-upskilling in Generative AI and AI Engineering, and their SME role indicates leadership potential.