Srinivas Remala

High-utility Technical Operations, RevOps, and AI Data Trainer Specialist with 5+ years of combined experience designing remote technical automation infrastructure, Python (Pandas) data transformation modules, and enterprise business data models. Expert at high-volume data hygiene, executive document formatting, and grading/vetting AI-generated code and data models to meet board-level standards. Proven ability to transform chaotic text blocks into structured horizontal process presentation layouts in PowerPoint and maintain pristine database integrity across client portfolios.

Technical Operations & RevOps Automation Consultant at Remote (Global Contracts) (2024-08 – Present)

• System Architecture & Portfolio Governance: Configure and manage end-to-end HubSpot portal infrastructures across Sales and Marketing Hubs, designing custom object schemas and unique data association labels to mirror complex business logic.
• Data Infrastructure & Python ETL: Extracted, cleaned, and normalized customer records from fragmented data sources using SQL and Python (Pandas); built automated deduplication logic protecting CRM database health.
• API Workflow Monitoring: Supervised daily multi-platform data sync operations; injected custom webhook filters and Make.com error-handling modules to resolve pipeline breaks without data loss.
• Growth Ops Execution: Configured data pipelines using automated list imports, data profiling, and AI agents to map target account characteristics cleanly into centralized HubSpot fields.

Business Operations & TechOps Manager at Neon Technosoft Pvt. Ltd. (2021-04 – 2024-03)

• Operations Modernization: Orchestrated the digital overhaul of standard business workflows, shifting daily operational data tracking from disorganized text files into centralized cloud tracking systems.
• Data Auditing & Performance Analytics: Built automated data pipelines and analytical spreadsheets to analyze team productivity and pipeline movement, reducing operational reporting delays by 40%.
• Contract Lifecycle Management: Supervised billing, client onboarding, and technical resource allocation loops, directly managing customer contract completions and data onboarding.

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