Fair Lawn, New Jersey, United States
I turn complex data into clear, actionable insights that help businesses make smarter decisions and improve efficiency. As a Data & BI Analyst, I specialize in SQL, Power BI, Tableau, and workflow automation to optimize data processes and uncover meaningful trends. At Getida, I’ve built 45+ dashboards, led end-to-end data automation projects, and optimized SQL queries to boost performance by 40%, all while making data more accessible for decision-makers. My expertise spans business intelligence, SQL performance tuning, ETL automation, and cloud-based analytics (AWS, Azure, GCP). 🔹 My Core Strengths: ✔ Business Intelligence & Data Visualization – Power BI, Tableau, Looker, KPI tracking, dashboard development ✔ SQL & Database Management – Writing optimized SQL queries, database performance tuning, data modeling (PostgreSQL, MS SQL Server) ✔ ETL & Data Engineering – Data pipeline automation, ETL development, workflow optimization, API integrations (Amazon SP-API, Salesforce, NetSuite) ✔ Cloud & Big Data Technologies – AWS, Azure, GCP, Snowflake, Databricks ✔ Data Analysis & Reporting – A/B testing, predictive analytics, financial reporting, operational analytics I enjoy solving data challenges, automating repetitive workflows, and making information more accessible so teams can focus on strategic growth. 💡 Let’s connect! I’m always happy to discuss data analytics, BI, SQL performance, and industry trends.
In this position, I spearhead efforts to expand data management capabilities while coaching junior members and moving into larger data engineering team. Some of my key achievements in this role include: • Created and deployed an SQL-based reconciliation model, proactively identifying Amazon reimbursement discrepancies, saving over $200K by avoiding refunds. • Developed predictive BI models leveraging SQL to proactively detect churn risks, increasing client retention by 10% and enhancing stakeholder decision-making. • Developed 45+ Power BI and Tableau dashboards by integrating diverse data sources, reducing manual data processing by 30%, and enabling faster strategic decision-making across 5+ departments • Improved BI reporting performance and data accessibility by integrating fragmented datasets and optimizing SQL workflows and indexing, reducing report runtime by 40% and increasing ETL speed by 25%. • Led Tableau-to-Power BI migration that improved dashboard load times by 35% and boosted user adoption across business teams. • Implemented self-service Power BI dashboards, empowering business stakeholders, reducing ad-hoc reporting needs by 20%, and significantly improving BI adoption. • Delivered data presentations to cross-functional teams, ensuring clear communication of analytical findings and business impact.