Headline

Data Engineer | Reduced Data Retrieval Time by 30% | Azure Databricks · ADF · SQL

About

Every company sits on more data than it knows what to do with. The problem isn't collecting it — it's that the data is messy, scattered across systems, and nobody trusts it enough to make decisions. That's where things get expensive. Reports don't match. Analysts waste hours cleaning before they can analyze. Leadership makes calls based on gut feeling instead of numbers — not because they want to, but because the data pipeline feeding them is broken. I fix that. I'm a Data Engineer who builds the infrastructure that makes data reliable, accessible, and actually useful. My work sits between raw source systems and the dashboards your business runs on. Here's what that looks like in practice: → As a Data/Business Analyst at Comerica Bank, I designed ETL workflows that consolidated data from multiple sources into one reporting layer, cutting data retrieval time by 30%. I also built automated SQL reports and Power BI dashboards that tracked financial KPIs and compliance metrics — increasing audit efficiency by 20%. → At Quality Kiosk Technologies, I built data validation and reconciliation frameworks on Azure Databricks that flagged anomalies automatically, replacing manual checks that slowed teams down. → At California Lutheran University, I created Power BI dashboards tracking budget utilization across 50+ events, improving cost control by 25% and cutting data errors by 35%. My toolkit: Azure Databricks, Azure Data Factory, Apache Airflow, SQL (Server, PostgreSQL, Oracle), Python, Power BI, Tableau. I hold an M.S. in Information Technology from California Lutheran University and a B.E. in Computer Engineering from Mumbai University. Certified in Microsoft SQL Server 2019. If your team is struggling with unreliable data, slow pipelines, or reports that don't add up — let's talk. I'm open to Data Engineer roles where I can build systems that teams actually depend on. → Reach me at: ghataliadaishik4@gmail.com

Location

India

AI stack

gemini

langchain

ollama

openai

Work experience

Consultant (Data Engineering) at Quality Kiosk Technologies, Feb 2026 - May 2026 · 4 mos, Maharashtra, India, - Built automated data validation and reconciliation frameworks using Azure Databricks and SQL, replacing manual quality checks and reducing validation effort by an estimated 40%. - Optimized SQL-based ETL workflows integrated with Azure Data Factory and Databricks, improving pipeline reliability across large-scale datasets serving downstream analytics teams. - Managed CI/CD pipeline workflows through Azure DevOps (ADO), enabling version-controlled deployments and sprint-based delivery within cross-functional Agile teams. - Developed anomaly detection checks within data pipelines by implementing automated flagging logic, catching data integrity issues before they reached production reporting layers. - Gained hands-on exposure to AI model evaluation, including prompt testing and LLM output quality assessment — expanding scope beyond traditional data engineering.

Data Analyst / Business Analyst at Comerica Bank, Aug 2024 - Jan 2025 · 6 mos, Dallas, Texas, United States, - Engineered automated SQL-based reports and Power BI dashboards to monitor financial KPIs and regulatory compliance, giving senior management real-time visibility into risk metrics. - Identified transaction anomalies and compliance risks through in-depth data analysis, increasing audit efficiency by 20% and reducing false-positive escalations. - Designed ETL workflows that consolidated data from multiple banking systems into a centralized reporting layer, reducing data retrieval time by 30% for downstream analysts. - Translated complex business requirements from cross-functional stakeholders into scalable analytical deliverables bridging the gap between business logic and technical implementation. - Delivered quarterly financial performance and risk insights to senior leadership, directly informing strategic planning and resource allocation decisions.

Assistant Event Data Manager at California Lutheran University, Jun 2022 - May 2023 · 1 yr, California, United States, - Built SQL and Excel dashboards for event tracking, budgeting, and financial reporting, giving the operations team a centralized view across 50+ university events. - Created Power BI reports visualizing budget utilization across all university events, improving resource allocation decisions and reducing overspend by 25%. - Implemented data reconciliation and validation procedures that enhanced reporting accuracy and cut data errors by 35%, earning recognition from university administration.

Education

Master of Science - MS, Information Technology, California Lutheran University

Bachelor of Engineering - BE, Computer Programming, Shah and Anchor Kutchhi Engineering College