$ whoami

Anish Karki

Database Engineer | DevOps Engineer | Platform Engineer

Database, DevOps, and Platform Engineer at Kyndryl, architecting enterprise-grade PostgreSQL 17 and MSSQL infrastructure for mission-critical financial platforms processing 50M+ transactions daily on hybrid Azure & AWS. I build Patroni HA clusters, automate with Terraform, Ansible & Python/FastAPI, and optimize with Crunchy Data tooling. Advanced PostgreSQL training with PostgreSQL core developers. 99.995% uptime across high-volume payment systems.

cat /etc/profile.d/about.sh

Database Engineer at Kyndryl with 6+ years in SQL Server and deep expertise in PostgreSQL 17. Currently leading database engineering for enterprise financial platforms processing 50M+ daily transactions on hybrid Azure and AWS cloud. I architect Patroni HA clusters, build CI/CD pipelines, and implement full observability stacks using Grafana, OpenSearch, and Prometheus exporters.

My philosophy is simple: infrastructure should be immutable, observable, and self-documenting. Every database I manage is provisioned through Terraform, configured via Ansible, and automated with Python/FastAPI and Bash scripts. I optimize PostgreSQL performance using Crunchy Data tooling and ensure mission-critical financial systems achieve 99.995% uptime.

Completed intensive advanced PostgreSQL training directly with PostgreSQL core developers, gaining deep expertise in PostgreSQL 17 internals, performance tuning, and enterprise patterns. When you've managed 9+ petabytes across financial systems with zero unplanned downtime, you understand the value of continuous learning and operational excellence.

# connection_pool

Anish Karki - DevOps DBA

git log --oneline education/

Master of Information & Communication Technology

2023 → Jun 2025

University of Sunshine Coast, QLD, Australia

Specializing in Data Analytics, Database Systems & Machine Learning

key_projects:
  • House Price Prediction using Regression Models
  • Coffee Sales Analytics with Power BI & Excel
  • Greyhound UK Race Data Pipeline & Database Design
research:
  • "Explainable AI for Medical Diagnosis: A Systematic Analysis"

Bachelor of Science in Computer Science

2016 → Sep 2018

Kathmandu University, Nepal

DBMS, Machine Learning, AI, Software Engineering, Data Structures, Networks

key_projects:
  • Facial Recognition System (Python, OpenCV, TensorFlow)
  • Music Management Application (Django)
  • Library Management System (C++)
  • Flappy Bird Neural Network + Genetic Algorithm (Python, Pygame)
  • Stock Trading Prediction with Deep Neural Networks
internship:

Automation Engineering @ Cotiviti — Built automated disaster recovery system for Vertica databases

systemctl status career.service

Database Engineer

Kyndryl, Melbourne (Remote)
Oct 2024 → Present

Client: NAB Bank

  • Deliver database and platform engineering for financial systems processing 50M+ transactions daily on hybrid Azure and AWS infrastructure.
  • Build a self-service database platform to standardize provisioning, reduce delivery friction, and improve operational consistency.
  • Architect and operate PostgreSQL 17 Patroni HA clusters with automated failover under 30 seconds, delivering 99.995% uptime through multi-node, multi-sync, cross-cloud design.
  • Use Terraform Enterprise, Ansible, Jenkins, Git-based CI/CD, and Python/Bash/SQL automation to deliver secure, repeatable, and compliant platform operations.
  • Implement end-to-end observability using Grafana dashboards, Mimir-backed metrics, and OpenSearch log pipelines with actionable alerting.
  • Administer operational PostgreSQL and MSSQL databases that support real-time payment processing workloads.
  • Improve platform reliability and performance through pg_stat_statements-driven tuning, proactive optimization, and capacity planning.
  • Own ServiceNow ITSM workflows across incidents, problems, requests, and production changes, ensuring audit-ready records.
  • Lead release and change management with risk assessments, implementation plans, CAB-aligned approvals, and rollback procedures.
  • Work in Agile delivery cycles using Rally for backlog grooming, sprint planning, execution tracking, and cross-team alignment.
  • Participate in on-call support, lead major incident triage, and drive post-incident corrective actions to prevent recurrence.
  • Produce operational runbooks, handover guides, and stakeholder updates for engineering, support, and management teams.

Data Platform Consultant

A&S Technology, Brisbane, QLD
Sep 2024 → Present
  • Designed Azure PostgreSQL Flexible Server deployments with private endpoints and geo-redundant backups
  • Implemented Grafana + Loki monitoring stack for real-time query performance insights
  • Built automated data validation pipelines with Python + Great Expectations — HIPAA-compliant healthcare analytics

Senior Database Administrator

Cotiviti Technology
Jun 2020 → Jun 2023
  • Managed 9PB PostgreSQL analytics platform — Patroni HA clusters, WAL-G backups, pgBouncer connection pooling
  • Built custom monitoring with sql_exporter feeding Prometheus — alerting on replication lag, bloat, vacuum status
  • Optimized 1000+ queries using BRIN/GIN indexes, declarative partitioning, CTEs — 70% faster analytical workloads
  • Zero security incidents across 3 years: row-level security, pgAudit, automated credential rotation

Database Administrator

Cotiviti Technology
Jun 2018 → Jun 2020
  • Automated maintenance with Python + cron: VACUUM ANALYZE, REINDEX CONCURRENTLY, bloat monitoring
  • Deployed logical replication for zero-downtime reporting — decoupled OLTP from analytical workloads
  • Led 50+ TB SQL Server → PostgreSQL migration with pg_dump/pg_restore, validated row counts and checksums

apt list --installed | grep -E "skills|tools"

database_platforms

PostgreSQL 17 (Advanced Training) 98%
MSSQL (6+ yrs: Operational DBs) 94%
Patroni + etcd HA Clustering 96%
Replication (Streaming, Logical, AG) 95%
PgBouncer / Connection Pooling 94%

infrastructure_as_code

Terraform (Azure/AWS) 95%
Ansible Playbooks & Roles 94%
Python / FastAPI Development 93%
Bash / Shell Scripting 95%
Crunchy Data Optimization 92%

observability_stack

Grafana Dashboards & Alerting 94%
OpenSearch / Elasticsearch 88%
postgres_exporter / sql_exporter 92%
node_exporter / Prometheus 90%
pg_stat_statements Analysis 96%

hybrid_cloud_platform

Microsoft Azure (VMs, VNets, NSGs) 95%
AWS (EC2, RDS, VPC, S3) 90%
Azure SQL / Managed PostgreSQL 93%
Hybrid Cloud Architecture 92%
PCI-DSS / Financial Compliance 94%

ls -la ~/projects/

Centralized Backup System

Enterprise-grade solution automating database backups across 200+ databases with 85% reduced verification time.

Python SQL Multithreading Scheduling

Database Size Predictor

LSTM neural network predicting storage requirements across 330+ databases with 80% accuracy.

Python LSTM Neural Networks Data Collection

Oracle → Vertica Pipeline

ETL pipeline transferring 2TB+ daily from Oracle to Vertica using PySpark and Apache Kafka.

Python Oracle Vertica PySpark Kafka

Weather Forecasting Pipeline

End-to-end streaming pipeline using PySpark and Medallion Architecture with ML forecasting models.

PySpark Delta Lake TensorFlow MLflow

Migration Validator

Python validation framework automating migration verification for 50+ databases — 95% faster validation.

Python NLTK SQLAlchemy Oracle

Energy Consumption Predictor

XGBoost forecasting with time-series analysis and weather integration for Australian energy markets.

Python XGBoost Time-Series Energy

QLD Health Data Assessment

DAMA-DMBOK maturity evaluation identifying gaps in storage, master data, and warehousing with AI policy recommendations.

DAMA-DMBOK Governance AI Policy Gap Analysis

Coffee Sales Analytics

Data preprocessing, cleaning, and visualization dashboard built with Excel and Power BI.

Excel Python DAX Power BI

Healthcare Fraud Detection

ML pipeline using ensemble learning and anomaly detection — 94% accuracy on DE-SynPUF dataset.

Python XGBoost SHAP Ensemble

Greyhound Race Scraper

Web scraper and high-performance database for greyhound race results and betting analytics.

Python Scraping Database Analytics

gpg --list-keys certifications/

nc -l 8080 # init contact

Open to opportunities in database administration, cloud infrastructure, and data engineering. Let's connect — I respond to all queries.