Open to opportunities

Aravindkumar Subramani

@aravindkumarsubraman

Message

I build governed, near-real-time data pipelines for analytics, operations, and identity-security workloads.

United States

Message

What I'm looking for

I'm looking to build reliable, governed data platforms and near-real-time pipelines where I can improve data quality, automation, security, and analytics outcomes.

At SailPoint, I build Databricks and PySpark ingestion pipelines that turn identity events into governed tables for security analytics. I improved identity-event processing time by 28% and reduced compute consumption by 17% across recurring access-risk workloads.

Previously at Turing, I modeled Snowflake warehouse data for talent operations and built Azure Data Factory, Airflow, and dbt pipelines for reliable reporting. My work reduced daily ingestion time by 31%, improved reporting accuracy by 18%, and made API integrations easier to test and promote through Docker and CI/CD.

I started at Freshworks, consolidating Freshdesk operational data with Python, SQL, PostgreSQL, Spark, and REST APIs. I also build practical ML and LLM-safety projects, including a prompt fuzzing framework and customer churn analysis dashboards.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer II

Current

SailPoint

Jan 2026 - Present (7 months)

Configured Databricks, Delta Lake, and PySpark ingestion pipelines for identity events, normalizing access, entitlement, and authentication records into governed tables. Integrated Apache Kafka, Auto Loader, checkpointing, and schema evolution controls for near-real-time processing, and optimized transformations to reduce processing time by 28% and compute consumption by 17%.

Databricks Delta Lake PySpark Kafka And Schema Evolution AWS Terraform CI CD RBAC Data Lineage Data Governance

Data Engineer I

Turing

Jun 2022 - Jul 2024 (2 years 1 month)

Modeled a Snowflake data warehouse using dimensional modeling for candidate profiles, assessments, interviews, and placement outcomes. Developed Azure Data Factory pipelines reducing daily ingestion time by 31% and orchestrated Airflow workflows for extraction, validation, and dbt transformations.

Snowflake Dimensional Models Azure Data Factory Airflow DBT Docker CI CD Data Validation Data Warehouse

Jr. Data Engineer

Freshworks

Jan 2021 - May 2022 (1 year 4 months)

Created Python and SQL routines to consolidate Freshdesk ticket, agent, customer, and product-usage data into PostgreSQL tables. Automated incremental extraction through REST APIs, reducing manual data preparation by 24% and applied Spark transformations to standardize operational datasets.

Python SQL PostgreSQL REST APIs Apache Spark Data Validation Query Optimization