Engineering robust
Data Ecosystems
Hi, I'm Anand Muraleedharan. I specialize in building, migrating, and optimizing high-performance data warehouses and pipelines. From replatforming SAP HANA to Snowflake, to orchestrating complex dbt & Airflow pipelines at scale, I write code that turns data complexity into operational simplicity.
About & Skills
Professional Overview
I am a highly analytical **Principal Data Engineer & Architect** with a passion for designing resilient data architectures that scale. With over 10+ years of hands-on experience, I bridge the gap between complex business mandates and clean, automated data pipelines.
My engineering philosophy is rooted in automation, early pipeline failure detection, and optimization. Whether optimizing dbt DAG runtimes by 200%-400%, writing robust post-hook macros for metadata analytics, or designing Kimball/Data Vault schemas, I focus on delivering performant, DRY (Don't Repeat Yourself) code.
Education
Master of Science: Information Technology and Management
The University of Texas at Dallas — Richardson, TX
Bachelor of Technology: Mechanical Engineering
Amrita Vishwa Vidyapeetham — Coimbatore, India
Certifications
Astronomer Certification for Apache Airflow 3 Fundamentals
Astronomer • 2025-06
dbt Certified Developer (dbt Labs)
dbt Labs • 2022-07
AWS Certified Cloud Practitioner
Amazon Web Services • 2022-03
HashiCorp Certified: Terraform Associate
HashiCorp • 2022-02
Data Warehousing & Architecture
Pipeline Ingestion & Orchestration
Languages, Infra & Cloud
Professional Experience
Principal Data Engineer & Architect (officially Sr. Data Engineer)
Full-TimeLeading enterprise telemetry pipelines and GTM analytics at Autodesk.
- Principal Data Engineer (Jan 2026 - Present): Designing robust product telemetry schemas, optimizing warehouse performance in Snowflake, and streamlining data models using dbt and Apache Airflow on Astronomer.
- Senior Sales Operations Analyst (Nov 2023 - Dec 2025): Developed custom GTM insight frameworks in Python and SQL, saving operational overhead and automating finance data reporting.
- Skills: Python, SQL, Snowflake, dbt, Airflow, Astronomer
Data Engineering Progression & Consulting Journey
JourneyDelivered modern cloud data solutions and directed technical execution for enterprise clients. Progressed through multiple engineering, consulting, and leadership roles while navigating company acquisitions (Visual BI acquired by Atos/Maven Wave, later rebranded as Eviden). Note: This timeline highlights a brief 9-month transition gap starting grad studies at UTD in Aug 2018, before starting this active engineering progression in May 2019.
Manager - Data Engineering
Apr 2023 - Oct 2023 (7 mos)- Managed data engineering delivery teams, established enterprise-wide dbt coding standards, and set up BigQuery testing architectures.
Blue Shield of California
May 2023 - Oct 2023 (6 mos)- Modeled core clinical and financial transactions in Snowflake using Data Vault 2.0 modeling principles.
- Engineered scalable dbt pipelines utilizing dbtVault / AutomateDV on Azure cloud systems.
Principal Consultant - Data Engineering (formerly Sr. Consultant)
Feb 2022 - Mar 2023 (1 yr 2 mos)- Led the BI architecture migration of Coke One North America (CONA) from SAP HANA to Snowflake, improving Airflow DAG runs by 400% through data clustering, incremental models, and custom post-hook macros.
- Designed and configured client infrastructure code using Terraform on AWS and GCP.
American Family Insurance
Feb 2023 - Apr 2023 (3 mos)- Structured GCP BigQuery pipelines and integrated Vertex AI with Kubeflow (KFP) ML pipelines.
- Wrote custom Python ingestion adapters for macroeconomic APIs (FRED, BLS, BTS, CDC, Yfinance).
UPS
May 2022 - Dec 2022 (8 mos)- Developed custom Unix Shell and Python ingestion wrappers on a Linux Integration hub.
- Designed BigQuery data warehouse models to query complex hierarchical HR organization charts.
Principal Consultant - BI & Analytics Solutions Developer
Oct 2020 - Mar 2022 (1 yr 6 mos)- Designed Snowflake pipelines, dbt transformations, and integrated with Azure Repos for version control.
Autodesk
Oct 2020 - Jan 2022 (1 yr 4 mos)- Developed a dbt-based testing framework for early detection of Fivetran pipeline failures.
- Migrated legacy finance pipelines to a Snowflake + dbt stack, improving DAG run times by 200%.
- Pushed Looker PDTs down into the database transformation layer to ensure DRY modeling practices.
Business Intelligence Developer (Internship)
May 2019 - Oct 2020 (1 yr 6 mos)- Modeled schemas using Kimball Dimensional Design on SAP HANA databases.
- Wrote optimized SQL queries and built operational analytics dashboards for clients.
Developer (formerly Associate Developer)
Full-TimeKey Projects & Impact
SAP HANA to Snowflake BI Re-platforming
Led the migration of Coke's legacy SAP HANA BI framework to Snowflake. Overhauled the Kimball fact & dimension schemas and developed performance macros.
dbt Pipeline Quality & Testing Framework
Designed a comprehensive, automated data testing framework to validate Fivetran ingestion feeds early. Implemented post-hooks for metalytic logging.
Finance Pipeline Performance Migration
Migrated complex financial data structures to a unified Snowflake + dbt environment, rewriting queries to push calculations down to the database layer.
Astronomer Airflow Lift & Shift
Transitioned core data pipelines from dbt Cloud scheduled runs to an enterprise-grade Airflow orchestrator managed on Astronomer for better monitoring.
Hierarchical BigQuery HR Data Warehouse
Designed BigQuery data warehouse tables optimized to query complex hierarchical organizational charts and reporting loops in real-time.
Full Stack SAP Enterprise Apps
Developed 5 responsive enterprise applications using the modern SAPUI5 JavaScript framework and ABAP backend, deploying CI/CD via Jenkins & Nginx.
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