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Akhil Ch

@akhilch1

Data Engineer building audited, production-ready lakehouses across insurance and telecom.

United States
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What I'm looking for

I want to build and ship production-ready data products—real-time and batch lakehouse pipelines—with strong data quality, governance, and auditability. I enjoy partnering with engineering, finance, and underwriting so stakeholders can actually rely on the outputs.

I’m a Data Engineer with around 5 years of experience building and maintaining large-scale data platforms across P&C insurance and telecom. I contribute to enterprise-grade lakehouse and pipeline development end-to-end—from real-time ingestion and PySpark transformations to dimensional modeling, dbt, and Power BI delivery.

At GEICO, I’ve helped consolidate policy, claims, billing, telematics, and customer interaction data into Snowflake and Azure Synapse Analytics, while running validation and regression checks that protect production stability. I also deliver secure, stakeholder-ready data products by collaborating with engineering, finance, and underwriting teams, supporting SOC 2 compliance (including passing 2 consecutive SOC2 audits with zero PII findings), and implementing governance with Azure AD/RBAC, Purview lineage, and masking—plus orchestration and access controls using ADF, Airflow, Unity Catalog, and Key Vault.

Experience

Work history, roles, and key accomplishments

GEICO logoGE
Current

Data Engineer

Jan 2024 - Present (2 years 5 months)

Contributed to GEICO’s insurance data lakehouse by consolidating policy, claims, billing, telematics, and customer interaction data into Snowflake and Azure Synapse for fraud detection, underwriting, and finance reporting. Built/validated real-time and CDC batch ingestion, implemented dbt Silver-to-Gold models, delivered 12 Power BI dashboards, and supported two consecutive SOC 2 audits with zero

TS

Data Engineer

Jun 2021 - Aug 2023 (2 years 2 months)

Built BT Group’s telecom analytics platform on Azure Databricks and ADLS Gen2, ingesting order, billing, device, usage, and network telemetry into Bronze/Silver/Gold Delta Lake architecture. Developed Python/REST and ADF ingestion with data profiling, engineered PySpark Bronze-to-Silver jobs with Delta schema evolution/time travel, and orchestrated multi-source pipelines with Airflow and Unity Cat

Education

Degrees, certifications, and relevant coursework

Florida Atlantic University logoFU

Florida Atlantic University

Master’s in Data Science and Analytics, Data Science and Analytics

Grade: CGPA: 3.7

Completed a Master’s in Data Science and Analytics at Florida Atlantic University (May 2025). Reported CGPA: 3.7.

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