Analytics Engineer - Snowflake, SQL, Python, Power BI

Akshad Thole

Analytics Engineer Snowflake, SQL, Python, Power BI, ETL/ELT & Data Modeling

+1-240-***-**** ******************@*****.*** LinkedIn SUMMARY

Analytics Engineer with 3+ years of experience building ETL/ELT pipelines, Snowflake data models, modular SQL transformations, and reporting-ready datasets using SQL, Python, PySpark, and Azure Data Factory. Processed 100M+ records, improved query performance by 50%, and reduced reporting cycle time by 25% through optimized data workflows. Partners with stakeholders to define KPIs, build dashboards, and apply GitHub Copilot, Cursor, and LLM-assisted analytics for faster data quality automation.

WORK EXPERIENCE

City of Casa Grande Casa Grande, AZ

Business Applications Analyst Apr. 2025 - May 2026

• Architected Snowflake data warehouse architecture and reporting-ready data models for cross-department reporting, improving query performance by 50% through SQL tuning, clustering, and partitioning.

• Implemented modular SQL transformation logic using dbt Core concepts to standardize 10+ multi-source datasets, improving data consistency by 30% and supporting reliable downstream analytics.

• Partnered with business stakeholders to gather reporting requirements, define 15+ KPIs, and deliver Power BI-ready datasets for 5+ operational dashboards.

• Developed ETL workflows using Azure Data Factory, SQL, and Python, streamlining source-to-target data movement and reducing reporting turnaround time by 25%.

• Leveraged GitHub Copilot and Cursor to accelerate SQL/Python development, reducing script development time by 20% while maintaining production-grade quality. IBM Corporation College Park, MD

Data Analyst Jan. 2024 - Dec. 2024

• Developed Airflow-based ETL workflows with Python and SQL, accelerating data availability and improving pipeline processing efficiency by 35%.

• Implemented modular SQL transformation logic using dbt Core concepts across enterprise datasets, improving data model consistency by 25% and downstream reporting performance by 30%.

• Architected scalable data ingestion and transformation pipelines for IBM Federal systems, strengthening pipeline reliability and high-volume data processing.

• Partnered with project teams to implement workflow tracking and pipeline monitoring processes, reducing manual intervention and improving delivery visibility by 40%.

Tech Mahindra Ltd. Pune, India

Business Analyst Aug. 2021 - May. 2023

• Implemented SQL-driven ETL pipelines using Apache Airflow and Python, improving processing efficiency by 30% and strengthening data accuracy by 25%.

• Designed data ingestion workflows to integrate 150,000+ supplier records into SAP Cloud, improving master-data consistency and downstream system reliability.

• Streamlined data preparation and transformation processes using Python and Alteryx, reducing manual effort by 30% and accelerating data delivery timelines.

• Implemented SQL and Python-based data quality checks across enterprise workflows, reducing production reporting errors by 25%. PROJECTS

Real-Time Weather Data Streaming Pipeline

PySpark, Kafka, Python, SQL

• Engineered a real-time data ingestion and streaming pipeline using PySpark and Kafka, processing 1TB+ data daily and reducing ingestion latency by 30% across distributed systems.

• Streamlined large-scale data transformation workflows for high-throughput streaming datasets, increasing pipeline throughput by 25% and enabling stable downstream data processing.

Snowflake ETL Pipeline & Data Warehouse Optimization SQL, Snowflake, Azure Data Factory, Python

• Built end-to-end ETL pipelines using Azure Data Factory and SQL to ingest, transform, and load structured datasets into Snowflake, reducing manual processing effort by 25%+.

• Designed optimized Snowflake data models and query structures, improving data retrieval performance by 30% and enabling scalable analytics across enterprise datasets.

AI-Assisted Analytics & Data Quality

SQL, Python, Snowflake, GitHub Copilot, Cursor, LLM Analytics, Data Quality Automation

• Built automated anomaly detection workflows using Python and SQL to validate master data, flagging data quality issues 40% faster than manual review processes.

• Applied LLM-powered query generation on Snowflake to prototype natural language data discovery and support self-service analytics for non-technical stakeholders. SKILLS

Programming & Querying : SQL, Python, PySpark

Analytics Engineering : dbt, Data Modeling, Data Transformations, KPI Definition, Semantic Layer Concepts, Stakeholder Management Data Engineering : ETL/ELT Pipelines, Data Ingestion, Data Warehousing, Data Quality, Data Validation, Workflow Automation Cloud & Data Platforms : Snowflake, Azure Data Factory, PostgreSQL, MySQL, SAP Cloud Orchestration & Big Data : Apache Airflow, Spark, Kafka BI & Reporting : Power BI, Tableau, Excel, Dashboarding, Self-Service Analytics AI & Automation : GitHub Copilot, Cursor, LLM-Powered Analytics, Prompt Engineering, AI-Assisted Code Generation, Anomaly Detection Tools : JIRA, Confluence, Alteryx, IBM Cognos

EDUCATION

University of Maryland, Robert H. Smith School of Business, College Park, MD Aug. 2023 - Dec. 2024 Master of Science, Information Systems

University of Mumbai, India Aug. 2019 - May. 2023

Bachelor of Technology, Information Technology

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