Azure | AWS | Terraform | ADF | DevOps
LTIMindtree / LTI
Software Engineer - Cloud and DevOps · Bengaluru, India · April 2018 - November 2021
Delivered cloud automation, landing zone provisioning, application deployments, security, release operations, and Azure data platform workflows for Parexel, GenRe, and Veolia Water.
Business Context
LTIMindtree / LTI engagements covered cloud automation for pharmaceutical research, reinsurance, and utility clients across Azure, AWS, and GCP.
The Challenge
The work required reliable infrastructure automation, VM hardening, data platform deployment, ADF pipeline orchestration, and security remediation across multiple client environments.
Approach & Architecture
For Parexel, wrote ARM Templates, Terraform, Bicep, Azure DevOps YAML, PowerShell, Bash, and Python automation for Azure compute, networking, identity, and storage. Built hardened VM images, Python resource locking automation, and a PHP-based internal cloud practice portal. Deployed and managed Azure data platform components including Blob Storage, ADLS Gen2, Azure Data Factory, Databricks, PostgreSQL, Hive, and Azure Synapse.
Architecture notes
Azure compute, networking, identity, and storage services were provisioned through Terraform, ARM Templates, Bicep, and Azure DevOps YAML. ADF pipelines ingested source data, copied data from Synapse/PostgreSQL into ADLS Gen2, orchestrated workflow dependencies, triggered Databricks notebooks, and published curated datasets for Power BI dashboards.
Tools & Stack
What I Owned
- Azure compute, networking, identity, and storage automation for Parexel
- Windows and Linux Azure VM patching, hardened VM images, and Azure Compute Gallery publishing
- Python automation to regularly lock resources and reduce accidental deletion risk
- One-click PHP application for LTI Cloud Practice landing zone provisioning across Azure, AWS, and GCP
- Azure data platform components including Blob Storage, ADLS Gen2, ADF, Databricks, PostgreSQL, Hive, and Azure Synapse
- ADF pipelines, PySpark, SQL, and Hive-based transformation logic for Power BI consumption
Outcomes
- Delivered cloud automation and release support for Parexel, GenRe, and Veolia Water
- Improved infrastructure repeatability with IaC, scripting, and hardened image workflows
- Supported reliable data movement and analytics delivery through ADF, Databricks, Synapse, PostgreSQL, and ADLS Gen2
- Supported GenRe and Veolia Water with cloud deployment automation, release support, security remediation, and operational readiness
Lessons Learned
Cloud automation grows in value when infrastructure, data movement, security, and operational readiness are handled as one delivery system.
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