Data Engineer - ETL, Snowflake, AWS, Python, BI Dashboards

Anirudh Josuyla

+1-613-***-**** ****************@*****.*** https://www.linkedin.com/in/anirudhjosuyla/ Experience

Data Engineer Jan 2024 – Present

Greenhouse Juices Ltd Toronto, ON

• Automated HR and vendor ETL pipelines in Python and Airflow, eliminating 200 hours of manual reporting annually and enabling HR leadership to access retention insights 2x faster.

• Optimized AWS Redshift queries and distribution keys, reducing reporting latency by 35% and lowering EC2 compute spend by 15%, directly supporting company cost-efficiency goals.

• Partnered with HR and Operations teams to design Redshift data models for workforce analytics, powering dashboards that improved leadership visibility into employee attrition and engagement.

• Introduced ML-based survey analysis (Python + Scikit-learn) to identify engagement drivers, informing retention strategies and reducing voluntary turnover by 5% YoY.

• Built real-time event-streaming ingestion with Kinesis and Lambda, delivering faster HR metrics to leadership and enabling daily decision-making instead of weekly cycles. Power BI Analyst Intern Sept 2023 – Dec 2023

Greenhouse Juices Ltd Toronto, ON

• Delivered interactive Power BI dashboards for HR operations covering 100+ employees, providing executives with real-time turnover, hiring funnel, and engagement metrics.

• Increased dashboard reliability by 25% by writing parameterized SQL queries in Redshift and improving refresh stability.

• Established data validation checks across reporting pipelines, improving leadership trust in KPIs and reducing ad-hoc report fixes by 30%.

• Worked directly with HR and Finance stakeholders to define KPI frameworks aligned with company goals, driving adoption of dashboards in quarterly performance reviews. Data Engineer Apr 2019 – May 2022

Tritron Technologies Pvt. Ltd. Hyderabad, India

• Consolidated data from 120+ sources into a centralized AWS Redshift warehouse via ETL pipelines built with Glue, S3, and Lambda, providing a single source of truth for Finance, HR, and Operations teams.

• Improved analyst productivity by 30% by automating HR and Finance reports with Airflow, Python, and SQL, shifting from weekly to daily reporting cycles.

• Built Tableau dashboards for resource allocation across 20+ client projects, enabling resource reallocation and increasing billable allocation by 12% ( $200K annual savings).

• Designed Redshift schemas to support predictive workforce analytics, allowing HR to forecast staffing needs 3 months in advance.

• Partnered with Finance and HR teams to resolve recurring vendor data issues via JIRA and Confluence, improving report accuracy and leadership confidence.

Technical Skills

Data Engineering & Warehousing: ETL/ELT pipeline development, data modeling (Relational & NoSQL), Amazon Redshift, AWS Glue, Query Optimization, Performance Tuning, Real-time Event Streaming (Kinesis, Kafka), Data Governance

Programming & Scripting: Python, SQL, Shell Scripting, PowerShell Cloud Platforms & AWS Services: EC2, S3, Lambda, Redshift, Glue, EMR, Kinesis, Firehose, DynamoDB, CloudWatch, IAM (Roles & Permissions)

Analytics & Visualization: Tableau, Power BI, Elastic Stack, Hive Workflow Orchestration & Automation: Apache Airflow, CI/CD pipelines (Git, Jenkins, Terraform, Kubernetes, Docker)

Monitoring & Collaboration: Splunk, Dynatrace, Git/BitBucket, JIRA, Confluence, Excel, PowerPoint

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