MAHABOOB BASHA SHAIK

GCP Looker Data Engineer

4+ yrs exp 90 · Outstanding

About

GCP Looker Data Engineer with 5+ years of experience delivering cloud-based analytics, data warehousing, and business intelligence solutions. Expertise in Google BigQuery, Looker, LookML, SQL, Python, ETL/ELT pipelines, data modelling, API integrations, and Airflow orchestration. Experienced in designing scalable semantic layers, governed self-service analytics, data quality frameworks, and enterprise reporting solutions within healthcare environments.

Skills & Expertise (43)

BigQuery Advanced

8.5/10

Years Exp

Looker Advanced

8.4/10

Years Exp

SQL Advanced

8.0/10

Years Exp

Data Warehousing Advanced

8.0/10

Years Exp

Python Advanced

7.8/10

Years Exp

Data Transformation Advanced

7.5/10

Years Exp

ETL Advanced

7.5/10

Years Exp

Power BI Advanced

7.5/10

Years Exp

Data Governance Advanced

7.0/10

Years Exp

data quality frameworks Advanced

7.0/10

Years Exp

Jira Stored Procedures Window Functions REST APIs JSON Git Airflow Agile Scrum RBAC Row-Level Security HIPAA Compliance DAX Data Modelling Reports Power Query Dashboards Query Optimization Cloud Composer IAM LookML Semantic Layer Views Dimensions Measures Fact & Dimension tables KPI development Derived Tables Data Ingestion Data Validation Star Schema Snowflake Schema Dimensional Modeling

Work Experience

GCP Looker Data Engineer

Accenture (Client: TimeDoc Health)

Sep 2022 - Jul 2026

Architected and implemented a scalable healthcare claims analytics platform on Google Cloud Platform, leveraging BigQuery as the centralized enterprise data warehouse. Engineered SQL-based ETL/ELT pipelines in BigQuery processing 2M+ healthcare claim records monthly to transform and deliver analytics-ready datasets for reporting and business intelligence. Developed Python-based workflows for data ingestion, validation, automation, and API integrations, improving pipeline reliability and efficiency. Designed and developed governed semantic models in Looker using LookML, including views, dimensions, measures, and explores for self-service analytics. Built and maintained 15+ interactive Looker dashboards supporting claims analytics, operational reporting, and executive scorecards. Integrated external data sources using REST APIs and JSON-based ingestion processes to enrich analytical datasets. Implemented data quality, reconciliation, and validation frameworks to ensure data accuracy, consistency, and auditability. Automated reporting, dashboard scheduling, alerts, and role-based access controls (RBAC) to support secure enterprise analytics. Collaborated with business stakeholders, compliance teams, and data engineers to deliver governed end-to-end analytics solutions using BigQuery and Looker, enabling secure self-service reporting and data-driven decision-making.

SQL & Power BI Developer

Accenture (Client: Pfizer Healthcare)

Jul 2021 - Aug 2022

Designed and delivered Power BI dashboards supporting clinical, operational, and revenue cycle analytics. Developed semantic data models, DAX measures, and SQL queries enabling secure self-service reporting. Integrated and transformed healthcare data from multiple source systems using SQL and Power Query. Implemented Row-Level Security (RLS) and role-based access controls to protect PHI and maintain compliance. Optimized report performance through data model tuning, DAX optimization, and refresh automation. Automated executive reporting workflows, alerts, and dataset refresh schedules.