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Who I am !!

My name is Silpa Rao, and I was born and raised in the beautiful state of Kerala, often referred to as “God’s Own Country” in India. Kerala is known for its rich culture, natural beauty, and emphasis on education, which played a significant role in shaping my values and aspirations.Growing up in India, a country known for its diversity and vibrant history, I developed a deep respect for knowledge and learning.With over a decade of experience working in data across leading companies like Accenture, Cognizant, and Infosys, I have earned several accolades for my work. Now, I am focused on achieving my goal of mastering Business Analytics, where I aim to blend my hands-on industry experience with formal education. I believe in lifelong learning, and I’m excited to continue this journey while contributing my knowledge and experience to every opportunity I take.


Academic Background

MS in Business Analytics - UC
AI in Business, Post-Baccalaureate Certificate program - UC

Executive Management Program – IIM Calcutta, India.
Bachelor of Technology in Computer Science & Engineering – CUSAT, India.


Professional Background

Data Engineering Consultant, specializing in ETL, data warehousing, and data integration.Throughout my career, I have effectively designed and implemented data warehousing and integration solutions across various sectors, including healthcare, pharmaceuticals, financial services, and energy. With a robust background in Information Management, Data Analytics, and Cloud Transformation, I have a proven track record of analyzing requirements, planning, designing, and implementing innovative data warehousing solutions that address complex business needs globally. My expertise spans sectors including Life Sciences, Banking and Financial Services, and Energy & Utilities, with significant exposure to business application systems in Healthcare, Pharmaceutical, Financial, and Energy sectors.
I have led teams in developing ETL architecture strategies, improving data modeling, error handling, and performance optimization, achieving a 60% reduction in ETL process runtime. My experience includes collaborating with business analysts and data stakeholders to define requirements and create actionable plans. I have designed and maintained complex ETL workflows and developed impactful data solutions. My technical skill set includes technologies such as Informatica PowerCenter, SQL Server, Azure synapse, Data Lake, SSIS, Redshift, Power BI, Reltio (MDM Tool), Dataiku, Neo4j, Unix, DAX scripting, and SAP Hana Studio. I have managed data integration projects and overseen end-to-end data management platforms, ensuring effective project delivery and stakeholder communication. I am particularly looking forward to work in collaborative, diverse, and employee-centric environment, along with the opportunity to tackle data-driven challenges. Additionally, I look forward to applying the skills I gain from the MS in Business Analytics program at the University of Cincinnati to offer innovative solutions and manage relationships with clients, regulators, and stakeholders

Tech Stacks

Operating Systems Windows, Unix/Linux.
ETL Tools Informatica Power Center, IICS, SSIS, ADF
Tools Reltio (MDM), UNIX, Python, DAX Script, TOAD, SQL-Developer, MS Office, R-Intermediate
Databases Oracle, MS SQL Server, Sybase, Siebel, Greenplum, Azure SQL MI, Azure Synapse, Amazon Redshift
Cloud Microsoft Azure, AWS
Reporting Tools Microsoft PowerBI, SSRS (SQL Server Reporting Services), Tableau
Versioning Tools TFS, GitHub, Share Point

Certifications

• Microsoft Azure Data Engineering Associate (DP 200 and DP 201)
• AWS Solution Architect Associate (SAA-C03)
• Databricks Certified Data Engineer Associate

Achievements

• Tech Star – Accenture 2023
• Kudos Recognition – Lead with Excellence, Confidence and Humility – Accenture 2022
• Sapphire Award -Stellar performance and demonstrating the value of “Doing the right thing, the right way” - Cognizant
• Coral Award – Cognizant
• BRAVO AWARD for excellent Team Player – Infosys

Interests

In my free time, I enjoy: