Abhishek Mishra

// Resume

Abhishek Mishra

Solutions Architect — AI Solutions & Intelligent Data Platforms

Summary // PROFILE

I design scalable, governed data and AI platforms, with 8 years of experience evolving from hands-on data engineering into platform and solution architecture. My work spans the full platform lifecycle — data engineering, AI/ML enablement, and the operational foundations (DataOps, MLOps, LLMOps, AIOps) that keep enterprise platforms reliable in production.

Today I architect enterprise-grade AI solutions and intelligent data platforms on Databricks and Spark for global CPG and pharma clients, while bringing agentic systems into production to drive self-healing, zero-touch operations. Beyond the technology, I have led the intern-to-full-time journey end to end — hiring, technical assessment, training, mentorship, and conversion — helping new engineers grow into strong contributors.

Experience // SIGMOID · 8 YRS

JAN 2026 — PRESENT · 6 mos

Solutions Architect

Sigmoid · Bengaluru, India · Hybrid

Architecting enterprise-grade AI solutions and intelligent data platforms, and reimagining platform engineering with agentic systems. Own the design of scalable, resilient platforms spanning data engineering, AI engineering, and DataOps — embedding governance, observability, and automation, and leveraging agentic AI to drive self-healing, zero-touch operations for global CPG and pharma clients.

Agentic AISolution ArchitectureDatabricksGovernanceObservability
JAN 2024 — DEC 2025 · 2 yrs

Data Operations & Engineering Lead

Sigmoid · Bengaluru, India · On-site

  • Led a team of 18+ engineers, owning delivery across the full data lifecycle — from ingestion and pipeline reliability to production support and platform governance.
  • Drove a large-scale platform modernization on Databricks (Unity Catalog, Delta Live Tables, Asset Bundles), establishing governed, observable, production-grade standards.
  • Built the team from the ground up — defining hiring bars, onboarding engineers, and shaping the technical practices that scaled delivery.
  • Introduced GenAI and LLMOps into operational workflows, applying LLMs and agentic patterns to improve automation, triage, and self-healing.
  • Partnered with L&D to design and run a structured intern-to-full-time program — mentoring, assessing, and evaluating 40+ interns through hiring, training, and conversion.
Team LeadershipUnity CatalogDLTAsset BundlesLLMOps
JAN 2023 — DEC 2023 · 1 yr

Senior Data Operations Engineer

Sigmoid · Bengaluru, India · Hybrid

  • Designed and operated production pipelines on Databricks, applying data modeling and engineering best practices to improve reliability and maintainability.
  • Implemented security architecture and access-governance controls across data platforms, strengthening compliance and auditability.
  • Drove automation across operational workflows, reducing manual intervention and improving pipeline stability and recovery.
  • Mentored junior engineers, establishing standards that raised the quality bar for pipeline development.
DatabricksSecurity ArchitectureData ModelingAutomation
AUG 2021 — DEC 2022 · 1 yr 5 mos

DataOps Engineer II

Sigmoid · Bengaluru, India

  • Migrated Python pipelines to Databricks to leverage ACID transactions, schema evolution, merge/update/delete DML, scalable metadata, and delta-log auditing.
  • Optimized PySpark and Delta workloads over billions of rows using partitioning, OPTIMIZE, and time travel.
  • Orchestrated Databricks jobs from Airflow using job and all-purpose clusters; managed AWS web servers with performance monitoring.
PySparkDelta LakeAirflowAWS
MAR 2019 — SEP 2021 · 2 yrs 7 mos

DataOps Engineer I

Sigmoid · Bengaluru, India

  • Set up and managed AWS Hadoop clusters running TB-scale ETL pipelines for multiple customers.
  • Implemented zero-trust security, bastion-host architecture, and Grafana-based log auditing with continuous monitoring.
  • Ran PoCs that brought new technology into the stack — Alluxio caching, Databricks Delta Lake — and deployed Hadoop, Kubernetes monitoring, and GitLab estates.
HadoopAWSZero TrustKubernetesGrafana
JUL 2018 — FEB 2019 · 8 mos

Associate DataOps Engineer

Sigmoid · Bengaluru, India

  • Deployed and managed GCP and AWS Hadoop clusters running Spark ETL jobs.
  • Wrote scripts to manage and monitor thousand-node clusters running 24/7 real-time pipelines.
GCPAWSSparkShell

Skills & tools // STACK

Data & AI Platform

DatabricksUnity CatalogDelta Live TablesAsset BundlesAgent BricksDatabricks GenieApache SparkPySparkAirflow

Agentic AI & ML

LangChainLangGraphLangSmithRAGMCPMLflowGenAIMLOpsLLMOps

Cloud & DevOps

AWSAzureGCPCI/CDAzure DevOpsKubernetesTerraformDockerGrafana

Languages & foundations

PythonSQLShellSystems DesignEnterprise ArchitectureSecurity ArchitectureLinux Admin

Leadership & people // BEYOND TECH

I lead a team of 18+ engineers, and in partnership with the L&D team I have driven the intern-to-full-time journey end to end — mentoring, assessing, and evaluating 40+ interns from hiring and technical assessment through structured training to full-time conversion, helping them enter the organization, build confidence, and grow into strong engineers.

Education // FOUNDATIONS

2014 — 2018

B.E. Computer Engineering — 77%

University Institute of Technology, The University of Burdwan

Languages // SPOKEN

English (Full Professional) · Hindi (Native / Bilingual) · Bengali