Andrea D'Vaz
@andreadvaz
Experienced Data Analyst with expertise in Big Data, ETL, and Data Analytics.
IndiaWhat I'm looking for
I am a Data Analyst with 4 years of experience, specializing in Big Data, Extract Transform Load (ETL) Process, Data Warehousing, and Data Analytics. I have a strong technical background that enables me to deliver data-driven solutions and provide valuable insights. Throughout my career, I have successfully developed and maintained ETL pipelines. My expertise includes working with Informatica. I have experience with creating Power BI dashboards, optimized SQL processes, and collaborated with cross-functional teams to implement resilient solutions.
At McKinsey & Company, I developed a Power BI dashboard that improved customer value by 10% by identifying bottlenecks in the client's ecosystem. I also optimized a client deliverable job runtime by 30% through SQL optimization. Additionally, I supervised and upgraded ETL pipelines, implemented business requirements, and generated insights from large volumes of data using PL/SQL.
During my tenure at Infosys Limited, I developed an ETL pipeline that increased the client's customer base by 15%. I designed ETL pipeline architecture using Informatica PowerCenter and Unix Scripts, implemented Slowly Changing Dimensions (SCD) Type II, and created impactful Power BI dashboards for data reporting. I also provided on-call support, collaborated with Business Analysts, and volunteered in live production fixes.
Experience
Jr. Data Analyst
MCKINSEY & COMPANY
Oct 2022 - Feb 2024 (1 year 4 months)
Developed Power BI dashboard to highlight key metrics, achieved runtime optimization, collaborated with stakeholders, supervised and upgraded ETL pipelines, implemented business requirements, co-ordinated with clients, and conducted Knowledge Training (KT) for new hires.
Developed ETL pipeline resulting in increased customer base, designed ETL pipeline architecture, implemented Slowly Changing Dimensions (SCD) Type II, developed Power BI dashboards, provided on-call support, collaborated with Business Analysts, and supervised live production fixes.
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