AfifaReshma

[email protected] 9177855885 Hyderabad, Telangana
LinkedIn: https://www.linkedin.com/in/afifareshma-shaik/

PROFESSIONAL SUMMARY

**BI Engineer** with **4+ years** of experience specializing in end-to-end data architecture, enterprise BI solution design, and cloud-native analytics engineering across **Azure, Snowflake**, and modern data stack tools. Expert in building scalable **ETL/ELT pipelines** using **Azure Data Factory, Azure Databricks, dbt, and Dagster**, combined with strong proficiency in **Power BI** and **MicroStrategy** for semantic modeling, report optimization, and executive-grade dashboarding. Skilled in implementing data governance frameworks (RBAC, RLS), optimizing warehous88e performance, designing star/snowflake schemas, and orchestrating **CI/CD** automation for analytics workloads. Adept at translating complex business requirements into resilient, high-performance BI systems that drive data-driven decisions across the enterprise.

WORK EXPERIENCE

BI Analyst Developer
12/2022 - Present
BizAcuity , Hyderabad, Telangana
**Project 1 - Mobile Messaging (MicroStrategy)**
Architected and governed the comprehensive **semantic layer** within MicroStrategy, integrating complex multi-level **hierarchies**, dynamic **metrics**, and advanced **attribute forms** to ensure enterprise-wide data consistency and accuracy across 100+ reports
Led a **query optimization** initiative by refactoring intricate MicroStrategy reports and fine-tuning **VLDB properties**, achieving a 40% reduction in report execution time and a 25% improvement in overall report delivery performance, significantly enhancing user experience
Engineered and deployed a suite of interactive, real-time **dashboards** leveraging MicroStrategy’s **Visual Insight** and **Dossier** capabilities for C-level executives, enabling data-driven decision-making through intuitive **KPI visualizations** and drill-down analytics
Implemented advanced **security protocols** including **row-level security (RLS)**, **object-level permissions**, and dynamic **data masking**, ensuring robust data governance and compliance with organizational policies
**Project 2 - Gaming Analytics Solution (Power BI)**
Pioneered the design and development of an end-to-end gaming analytics platform using **Power BI**, incorporating **composite models**, **incremental refresh**, and **AI-powered Q&A visuals** to deliver real-time insights into player behavior, revenue streams, and game health metrics
Crafted a highly optimized **star schema data model** and leveraged advanced **DAX functions** including variables, **time intelligence**, and dynamic segmentation to compute complex KPIs such as **DAU/MAU ratios**, retention rates, and churn analytics
Streamlined **ETL processes** with **Power Query** by implementing **query folding**, incremental data refreshes, parameterized functions, and custom connectors, enabling efficient processing of large-scale datasets exceeding 10 million rows
Enforced **row-level security (RLS)** within Power BI Service with dynamic role assignments, ensuring secure, compliant data distribution tailored to diverse user roles and business units
**Project 3 - Business Analyst (Data Migration - Mini Project)**
Led a cross-functional team of 5 members as the primary **Business Analyst**, driving requirement gathering and stakeholder engagement for a critical **data migration** initiative involving multiple legacy systems
Translated high-level business objectives into detailed technical requirements and measurable KPIs, incorporating **data lineage** and **impact analysis** to ensure migration accuracy
Collaborated closely with data engineers and business users to perform comprehensive **data discovery**, **profiling**, and **validation** across heterogeneous source systems
Engineered a proof-of-concept interactive **Power BI report** featuring dynamic filtering, drill-through capabilities, and automated alerts, which validated project feasibility and secured executive sponsorship
Presented findings and the final dashboard to business stakeholders, achieving 100% buy-in and confirming alignment with all initial requirements
Data Engineer
07/2021 - 11/2022
Infosys , Hyderabad
**Project 4 – Azure Data Platform Modernization & Migration (Technical Rewrite):** Led the end-to-end modernization of an on-premise data ecosystem to **Azure**, designing a scalable architecture leveraging **Azure Data Factory (ADF)**, **ADLS Gen2**, **Databricks**, and **Snowflake**, ensuring secure ingestion, orchestration, transformation, and analytical readiness
Built enterprise-grade **ETL/ELT pipelines** in ADF using dynamic mapping data flows, parameterized pipelines, custom triggers, and event-based orchestration, integrating with **Azure Key Vault**, Managed Identities, and Hybrid runtime for secure cross-environment connectivity
Engineered a modular data transformation layer by integrating **dbt Cloud** with **Databricks SQL** + **Delta Lake**, implementing incremental materializations, schema evolution, test suites, and data quality enforcement using dbt tests and Delta Lake constraints
Implemented **Dagster** as the centralized workflow orchestrator, managing cross-pipeline dependencies, monitoring asset lineage, defining software-defined assets (SDAs), and enabling automated retries, backfills, and version-controlled deployments
Developed advanced data processing frameworks in Azure Databricks using **PySpark** for distributed transformations, anomaly detection, late-arriving data handling, SCD Type-2 logic, and optimized Delta Lake performance via Z-ordering, compaction, and partition pruning
Designed and enforced a **Snowflake governance framework** including RBAC, RLS, dynamic data masking, warehouse auto-scaling, and cost optimization; automated CI/CD for dbt models, ADF pipelines, and SQL objects via **Azure DevOps (YAML pipelines)** with automated schema tests and environment promotion

EDUCATION

MBA in Data Science and Analytics
01/2023 - 01/2025
Manipal University Jaipur (Online)
Bachelor of Technology in Computer Science and Engineering
01/2017 - 01/2021
BVRIT Hyderabad College of Engineering for Women, Hyderabad , Hyderabad

SKILLS

Technical Skills: Azure Cloud, Azure Data Factory, Azure Data Lake, Azure Databricks, Snowflake, Data Orchestration, ETL/ELT, DBT, Dagster, Data Modeling, Data visualization, BI Reporting, Python, SQL, Data Governance, Agile Methodology, CI/CD, Data Analysis, Data Discovery
Tools: Microstrategy, Power BI, Striim, PostgreSQL, Microsoft Excel, GIT, JIRA

CERTIFICATIONS

AZ900 Microsoft Azure Fundamentals - Microsoft Certified
Microsoft
DP203 Azure Data Engineer Associate - Microsoft Certified
Microsoft
PL300 Power BI Data Analyst Associate - Microsoft Certified
Microsoft
DP600 Fabric Analytics Engineer Associate - Microsoft Certified
Microsoft

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