Implementation Engineer · Bengaluru

I turn enterprise requirements into working, integrated systems.

2+ years delivering enterprise SaaS implementations end-to-end — from requirements and data migration through UAT, go-live and production support. I build the APIs, pipelines and automations that connect platforms like SAP and Salesforce.

See my work Resume
Manikya Kolekar
30 days → 3 hrswarehouse onboarding
40+REST APIs shipped
6Enterprise SaaS implementations
40+REST API integrations with SAP & Salesforce
300+Warehouses automated
50+Client users trained

About

The bridge between the client and the code.

I'm an Implementation Engineer at Zino Technologies, where I own client delivery end-to-end. I sit with stakeholders to understand how their business actually runs, translate that into solution designs and integration specs, and then build what's needed to make it work — REST APIs, Python and SQL pipelines, validation rules and scheduled sync jobs.

My favourite kind of problem is a slow manual process hiding inside a big system. The warehouse network I worked on used to take a month to onboard a single site; after automating registration against SAP, it takes about three hours.

I hold a B.E. in Information Science from SDM Institute of Technology, and I care about clean data, clear communication and go-lives that don't need a firefight the next morning.

Experience

Where I've been building.

Jun 2024 — Present Bengaluru, Karnataka

Implementation Engineer @ Zino Technologies

Client delivery

  • Primary point of contact across 6 enterprise SaaS implementations, leading stakeholder communication and UAT through sign-off
  • Gathered requirements and translated them into solution designs, integration specs and configuration plans
  • Supported 4 production go-lives through stabilization, trained 50+ client users and handed off to Customer Success

Integration & automation

  • Developed 40+ REST APIs integrated with SAP and Salesforce, working with both teams to automate data exchange and sync
  • Built Python and SQL workflows and pipelines that cut manual data tasks from 2+ hours to minutes
  • Designed cron-based sync jobs that auto-create missing records and eliminate cross-system mismatches

Data quality & migration

  • Executed data migration and validation for 4 client go-lives, reconciling records with SQL and Python
  • Engineered form and master-data validation rules that stop invalid entries before they reach downstream systems

Key projects

Selected case studies.

Apr 2026 — Sep 2026

Warehouse Implementation & Master Data Automation

Enterprise supply-chain client · 300+ warehouses across India

PythonSQLREST APIsSAPDigiPIN

The problem

Registering a new warehouse meant a chain of manual entries, approvals and hand-offs into SAP — roughly 30 days per site, with inconsistent location data along the way.

What I did

  • Took end-to-end ownership of the project and streamlined master-data workflows across the network
  • Automated warehouse registration end-to-end using Python, SQL and SAP APIs
  • Standardized warehouse locations with DigiPIN for unique, accurate addressing
  • Replaced manual post-approval triggers with scripted validation and a 5-minute cron job
30 days → 3 hrsWarehouse onboarding time
+30%Location data accuracy
1 hr → <5 minPost-approval processing
Jan 2026 — Mar 2026

Mentoring Platform Implementation

NGO client · 15,000+ users

SalesforceWorkflow AutomationDashboardsSaaS Configuration

The problem

A growing mentor–mentee programme was coordinated by hand: onboarding, reminders and feedback all depended on staff chasing people, and there was little visibility into engagement.

What I did

  • Configured a role-based mentoring platform for mentors, mentees and programme admins
  • Orchestrated automated onboarding, notification and feedback workflows
  • Delivered engagement dashboards so the team could see who was active and where to step in
15,000+Users served
−40%Manual coordination effort
+25%Platform usage

How I work

From kickoff to hand-off.

  1. 01

    Discover

    Workshops with stakeholders to map real processes, edge cases and success criteria.

  2. 02

    Design

    Solution design, integration specs and configuration plans everyone signs off on.

  3. 03

    Build & integrate

    APIs, pipelines, validation rules and sync jobs connecting SAP, Salesforce and the platform.

  4. 04

    Migrate

    Clean, load and reconcile data with SQL and Python so go-live starts from truth.

  5. 05

    UAT & go-live

    Lead UAT through sign-off, then support the launch through stabilization.

  6. 06

    Enable

    Train users and hand off cleanly to Customer Success with documentation.

Toolkit

Skills & tools.

Languages & scripting

PythonSQLJavaScript

Integration & automation

REST APIsSAP Data IntegrationSalesforce IntegrationWorkflow AutomationData PipelinesCron Scheduling

Data & databases

MySQLPostgreSQLPandasNumPy

Tools

PostmanGit

Implementation concepts

SaaS ImplementationMaster Data ManagementETLData MigrationClient OnboardingUATRequirements GatheringProduction Support

SDM Institute of Technology, Mangalore

Bachelor of Engineering, Information Science · Dec 2020 — May 2024

8.86/ 10 GPA

Contact

Have an implementation that needs an owner?

I'm happy to talk about SaaS implementations, integrations or data automation. Drop a message and I'll get back to you.