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Available · Senior Roles · 2026

ChittiboinaOmkar

Architecting the data backbone of global enterprises — from zero-loss migrations to Microsoft Fabric lakehouses. Python automation across Healthcare, Insurance, Banking & FMCG. 5+ years delivering cloud-native analytics at scale across Azure, AWS & GCP.

0+
Years Exp
0
Clouds
0
Domains
0
Tables Migrated
🚀 View Projects 💼 Let's Work Together
PIPELINE · ACTIVE
Running
INGEST
→
BRONZE
→
SILVER
→
GOLD
→
BI
# MPI Insurance · MS Fabric · Live
def dq_engine(table, batch_id):
  rules = load_control_table(table)
  for r in rules: spark_validate(r)
  audit_log(table, batch_id)
  return "✅ DQ PASSED · ZERO LOSS"
500+
Tables
0
Data Loss
3x
Faster ETL
📧chittiboina.omkaar@gmail.com
📱+91 79975 10731
📍Hyderabad, India
🏢Coforge · Senior Software Engineer – Data
💡Open to Hybrid & Remote
Profile

The Engineer Who Delivers,
Not Just Designs

5+ years building enterprise data systems from scratch — shipping production-grade platforms trusted by global banks, airlines, retailers and insurers worldwide.

I'm Chittiboina Omkar, a Senior Data Engineer based in Hyderabad, India with deep expertise in cloud data platform engineering, ETL/ELT development, Python automation, and data quality framework design.

My career spans enterprise clients across Airlines (Virgin Australia), Banking/ESG (HSBC), Insurance (Manitoba Public Insurance), Retail (Costa Coffee), FMCG (PepsiCo), and Travel Retail (DFS Group) — delivering on Azure, AWS and GCP.

Beyond corporate projects, I drive Python automation solutions across Healthcare data pipelines, Insurance claims processing, Mastercard payment analytics, on-premise to cloud migrations, and legal/compliance data systems — combining my unique B.Com + Technology + legal awareness background.

🧠
Microsoft Fabric Pioneer

One of India's few engineers with hands-on production Fabric delivery (MPI Insurance, 2026). Medallion architecture, OneLake, DQ rule engines, PyTest automation.

☁️
True Multi-Cloud Engineer

Production AWS Databricks migrations (Virgin Australia) and GCP BigQuery ESG platforms (HSBC). Real enterprise workloads — not sandbox experiments.

🤖
Python Automation Expert

Bulk migration scripts, DQ engines, healthcare data pipelines, insurance claims automation. Python as a force multiplier for enterprise scale.

⚖️
Commerce + Legal + Technology

Unique blend enabling ESG compliance (HSBC), HIPAA healthcare pipelines, PCI-DSS banking, audit trail design — rare in a data engineer.

Senior Data Engineer · India Market 2026
₹35LPA+
Senior Azure/Fabric engineers with 5+ yrs — Hyderabad/Bangalore
↑ +22% YoY demand growth (NASSCOM 2026)
Skill Proficiency
PySpark/Python
95%
Azure / ADF
92%
MS Fabric
90%
SQL / T-SQL
95%
Databricks
88%
AWS / GCP
82%
Expertise

What I Master

Production-tested expertise across the full modern data engineering stack — from ingestion to analytics-ready insights.

🏗️

Lakehouse Architecture

Medallion Architecture (Bronze/Silver/Gold), Delta Lake, OneLake, Max Batch ID incremental logic, control-table metadata frameworks. Designed for zero full-reloads and maximum performance.

Delta LakeOneLakeBronze/Silver/GoldIncremental Load
☁️

Multi-Cloud Platforms

Azure (ADF, Databricks, Synapse, ADLS Gen2, Fabric), AWS (Databricks, S3), GCP (BigQuery, GCS). Cloud-native with production deployments across all three hyperscalers.

Microsoft FabricAzure DatabricksAWS DatabricksGCP BigQuery
🤖

Data Quality Engineering

End-to-end DQ frameworks — control-table rule engines, dynamic SQL-to-PySpark conversion, pass/fail record counting, Parquet failure capture, full audit log tables, PyTest automation.

DQ Rule EnginePyTestAudit LoggingZero-Defect
⚡

ETL/ELT at Scale

ADF, Fabric Pipelines, IBM DataStage, Alteryx, SSIS to cloud-native. Expert in bulk load tuning, reconciliation frameworks, and phased migration strategies across enterprise environments.

ADFIBM DataStageAlteryxMigXpress
🐍

Python Engineering

Automation frameworks, healthcare data pipelines, insurance claims processing, bulk migration orchestration, Excel-driven parameter systems. Python as an enterprise scale-multiplier.

PySparkAutomationHealthcare ETLPyTest
📐

Data Architecture

Star/Snowflake Schema, SCD Types 1/2/3, Data Vault, Fact & Dimension design, Kimball and Inmon. Full DWH lifecycle from raw ingestion to analytics-ready outputs.

Star SchemaSCD 1/2/3Data VaultKimball/Inmon
Career

5+ Years of Enterprise Delivery

A consistent trail of production cloud platforms, zero-defect migrations, and data quality transformations for global Fortune 500 clients.

Senior Software Engineer – Data
Coforge · Enterprise Technology Services
JUN 2024 → PRESENT · Hyderabad, India
Microsoft FabricAWS DatabricksAzure ADFGCP BigQueryPySparkPyTest
  • MPI Insurance (Jan 2026–Present): Built complete Microsoft Fabric Silver layer with control-table metadata framework, Max Batch ID incremental logic, DQ rule engine (SQL→PySpark), PyTest suites, and full audit log observability for Canada's largest public insurer.
  • Virgin Australia (Apr–Dec 2025): Led Greenplum → AWS Databricks Delta Lake migration. Python-automated 500+ table bulk migrations from Excel parameter files. Reconciliation framework — zero data loss across all migration phases.
  • Costa Coffee (Jan–Apr 2025): Delivered full Medallion Architecture (Bronze→Silver→Gold) on Azure. ADF pipelines from REST APIs, CSVs, XMLs into ADLS Gen2. Cross-layer DQ validation eliminating Power BI reporting errors.
  • HSBC ESG Reporting (Jul–Dec 2024): Consolidated ESG metrics from Teradata, BigQuery, GCS for regulatory compliance. Source-to-target validation, Qlik reporting enablement, post-deployment accuracy sign-offs.
  • Managed all deployments via Azure DevOps CI/CD, pull request reviews, and branch strategy across four enterprise accounts simultaneously.
Senior Consultant
Future Soft India Pvt. Ltd.
JAN 2024 → MAR 2024
Azure Data FactoryAzure DatabricksAlteryxAzure SynapseT-SQL/PL/SQL
  • PepsiCo (FMCG): Led migration of Alteryx ETL workflows to cloud-native ADF + Databricks for enterprise analytics platform.
  • Converted Oracle PL/SQL stored procedures to SQL Server T-SQL with SCD Type 1 & 2 business rule implementations.
  • Deployed ADF Schedule and Tumbling Window Triggers integrating Azure Synapse Analytics dedicated pools for global BI consumption.
Associate Developer
Cognizant Technology Solutions
AUG 2022 → JAN 2023
Azure Data FactoryAzure DatabricksDelta LakeAzure Synapse
  • DFS Group (Travel Retail): Data modernisation for global luxury travel retail. Data profiling across Oracle and SQL Server source systems.
  • Configured ADF Linked Services connecting File Share, Oracle, Blob, and ADLS Gen2 sources and targets.
  • Built Databricks PySpark notebooks applying business transformation rules, Delta Lake merge/upsert operations loading Synapse Fact & Dimension tables.
Software Engineer
IBM India · 5 Years
AUG 2017 → JUL 2022
IBM DataStageOracleSQL ServerDB2
  • 5-year foundation at one of the world's top technology companies — building enterprise software solutions across diverse global client environments.
  • Developed deep expertise in IBM DataStage ETL, Oracle PL/SQL, SQL Server, DB2, and enterprise data architecture patterns.
  • Transition into cloud-native data engineering — the foundation of all subsequent Azure, AWS, and GCP expertise.
Portfolio

Key Projects & Engagements

Enterprise-scale cloud data projects across 3 hyperscalers, 8 industry verticals. Every project delivered on time, on spec, zero data loss.

🛡️ Insurance · Current
JAN 2026 → NOW
Manitoba Public Insurance (MPI)
Coforge · Senior Data Engineer · Microsoft Fabric Lakehouse
Canada's largest public insurer. Complete Silver layer on Microsoft Fabric: control-table metadata framework, Max Batch ID incremental logic, DQ rule engine (SQL→PySpark), PyTest suites generating CSV reports, end-to-end audit logging. Zero full-reloads. Full CI/CD via Azure DevOps.
Microsoft FabricOneLakeFabric NotebooksPySparkPyTestAzure DevOpsDelta TablesParquet
✈️ Airlines
APR–DEC 2025
Virgin Australia
Coforge · Data Engineer · Team 55
Greenplum → AWS Databricks lakehouse. Python-automated 500+ table bulk migrations via Excel parameter files. Zero-loss reconciliation. Complex type resolution (timestamp TZ, money, interval).
AWS DatabricksAmazon S3Delta LakeMigXpressPythonPySpark
☕ Retail
JAN–APR 2025
Costa Coffee
Coforge · ETL Developer · Team 8
Full Medallion Architecture (Bronze→Silver→Gold) on Azure. ADF pipelines from REST APIs, flat files, databases into ADLS Gen2. Cross-layer DQ validation powering Power BI.
Azure Data FactoryADLS Gen2Azure DatabricksMedallion ArchPower BI
🏦 Banking/ESG
JUL–DEC 2024
HSBC ESG Reporting
Coforge · Data Analyst · Team 15
ESG metrics from Teradata, BigQuery, GCS for HSBC regulatory compliance. Source-to-target validation, Qlik reporting enablement. Governance-grade delivery in a compliance context.
GCP BigQueryGoogle Cloud StorageTeradataJupyter LabQlik
🥤 FMCG
JAN–MAR 2024
PepsiCo
Future Soft · Senior Consultant · Team 15
Alteryx → cloud-native migration. Oracle PL/SQL→T-SQL, SCD 1 & 2, ADF Tumbling Window triggers, Synapse integration for global BI.
Azure Data FactoryDatabricksAzure SynapseAlteryxT-SQL/PL/SQL
🛍️ Travel Retail
2022–2023
DFS Group
Cognizant · Associate Developer · Team 10
Data modernisation for global luxury travel retail. ADF Linked Services, Databricks PySpark notebooks, Delta Lake merge operations loading enterprise Synapse DWH.
Azure Data FactoryAzure DatabricksDelta LakeAzure SynapseOracle
Python Automation

Automation Across Industries

Python as a force multiplier — Healthcare, Insurance, Banking, Mastercard payments, cloud migration workflows, and compliance data systems.

🏥
Healthcare Data Pipelines

HIPAA-compliant ETL — patient data ingestion, clinical records transformation, FHIR-compatible pipelines, automated claims validation. Supports provider analytics and population health platforms.

🛡️
Insurance Claims Automation

End-to-end claims processing — policy data ingestion, fraud detection pipelines, premium calculation, actuarial data feeds. AI-driven automation reduces cycle time by up to 30%.

💳
Mastercard / Banking Analytics

Payment transaction data engineering — transaction reconciliation, fraud analytics pipelines, merchant data processing, PCI-DSS compliant regulatory reporting at high throughput.

🔄
On-Prem ↔ Cloud Migration

Bidirectional migration — on-premise (Greenplum, Oracle, SQL Server) → Azure/AWS/GCP and reverse for hybrid architectures. Schema conversion, reconciliation, zero data loss.

⚖️
Legal & Compliance Data

B.Com + legal awareness enables governance-grade frameworks — ESG compliance (HSBC), HIPAA healthcare, PCI-DSS banking, audit trail design for compliance teams.

📊
Reporting Automation

Automated DQ reports, reconciliation dashboards, stakeholder sign-off workflows, CSV/Excel report generation — turning manual QA into self-driving quality systems.

healthcare_pipeline.py · Omkar's Framework
# Healthcare ETL Pipeline · HIPAA Compliant
# Python Automation by Chittiboina Omkar

import pandas as pd
from pyspark.sql import SparkSession
from delta import DeltaTable

class HealthcareETL:
  def __init__(self, config):
    self.spark = SparkSession.builder
        .appName("HealthPipeline")
        .getOrCreate()

  def ingest_patient_data(self, src):
    # Read HL7/FHIR patient records
    df = self.spark.read.json(src)
    return self._mask_pii(df)

  def validate_claims(self, df):
    # DQ: ICD codes, amounts, dates
    rules = load_dq_rules("insurance")
    for rule in rules:
      audit_log.write(rule, rule.run(df))
    return df.filter("dq_passed=true")

  def run(self):
    raw = self.ingest_patient_data()
    clean = self.validate_claims(raw)
    self.load_gold_layer(clean)
    print(f"✅ {clean.count()} records loaded")
Technology

Complete Tech Arsenal

Every tool battle-tested in production enterprise delivery. No sandbox certifications — real production experience across global clients.

🔷
Microsoft Fabric
Production · 2026
⚡
Azure Databricks
Expert · 4+ years
🏭
Azure Data Factory
Expert · 4+ years
🌊
Azure Synapse
Advanced
💾
ADLS Gen2
Expert
🟠
AWS Databricks
Production · 2025
🪣
Amazon S3
Advanced
🟦
GCP BigQuery
Production · 2024
🗂️
Google Cloud Storage
Advanced
🌐
OneLake
Expert · 2026
📊
Azure Blob Storage
Expert
🔑
Azure Key Vault
Proficient
🏭
Azure Data Factory
Pipelines/Triggers/Datasets
🔷
Fabric Pipelines
Set Variable/Activities
🔵
IBM DataStage
Expert · 5 years IBM
🔀
Alteryx Designer
Migrated → ADF+Databricks
📦
SSIS
Legacy migration
🚀
MigXpress
Specialist · Virgin Australia
🐍
Python
Expert · Automation/ETL/DQ
⚡
PySpark
Expert · Large-scale ETL
🗄️
SQL / T-SQL
Expert · Complex analytics
🔶
PL/SQL (Oracle)
Advanced · Migrations
✨
Spark SQL
Expert
📡
Impala SQL / HiveQL
Proficient
🔴
Oracle 10g–12c
Expert · PL/SQL
🔵
SQL Server 2012–2019
Expert · T-SQL
🟢
Greenplum
Expert · Migration source
🟡
Teradata
Proficient
⬛
IBM DB2
Proficient
🔷
Azure SQL Database
Advanced
🟦
GCP BigQuery
Advanced
💎
Delta Lake
Expert
🎛️
Control-Table DQ Engine
Custom built · MPI Insurance
🧪
PyTest Automation
Schema/Count/Rule validation
📋
Audit Log Tables
Full pipeline observability
⚖️
Reconciliation Frameworks
Zero data loss guarantee
📊
Schema Validation
Source-to-target mapping
📁
Parquet Failure Capture
Root-cause analysis
🔧
Azure DevOps
CI/CD · Pull Requests
🌿
Git / Bitbucket
Branch strategy
📋
Jira / Confluence
Agile Scrum · Sprints
🎫
ServiceNow
ITIL · Change mgmt
🏃
Agile / Scrum
Sprint planning
⚡
Parquet
Preferred analytics format
💎
Delta Lake format
ACID · Time travel
📄
JSON (nested/flat)
REST API ingestion
📊
CSV / Excel (XLSX)
Parameter files · Reports
🗂️
XML / ORC / Avro
Legacy system integration
Market Intelligence

Why Now Is the Best Time
to Hire Me

Market data confirms: Senior Data Engineers with Microsoft Fabric + multi-cloud experience are the most sought-after professionals in India's 2026 tech market.

💰
0
Senior Azure/Fabric Market Rate India 2026
📈
0
YoY Demand Growth Cloud Data Engineers
🎯
0
Cloud Platforms in Production Azure · AWS · GCP
🏆
0
Tables Migrated Zero Data Loss
Salary Benchmarks · India 2026
Senior Azure/Fabric (5+ yrs)₹23–35 LPA+
Databricks Specialist₹20–40 LPA
Multi-Cloud Data Engineer₹25–45 LPA
MS Fabric Pioneer (2026)₹30–50 LPA+
Python Automation Expert₹18–30 LPA
Top Skills Demand · 2026
Microsoft Fabric
96%
Databricks / Delta Lake
94%
PySpark / Python
92%
Multi-Cloud Engineer
89%
Medallion Architecture
87%
Data Quality Automation
85%
Education & Credentials

Academic Foundation &
Professional Growth

A unique blend of technology, commerce, and legal education enabling governance, compliance, and regulatory data work that pure engineers struggle with.

Education
🎓
B.Com (Computers)

Monad University · Commerce + Technology foundation

2015 · Undergraduate Degree
📚
Intermediate (12th Grade)

Narayana Junior College · Science stream with Computer Science

2012
🏫
High School (10th Grade)

Z.P.H High School · Foundation in Mathematics & Science

2010
⚖️
Legal & Compliance Awareness

Legal studies background enabling ESG compliance (HSBC), HIPAA healthcare data, PCI-DSS banking, audit trail design, and data governance frameworks in production.

Applied in Production · HSBC ESG, MPI Insurance
Certifications & Expertise Areas
🔷
Microsoft Fabric Analytics Engineer
DP-600 Level Expertise
⚡
Azure Data Engineer
DP-203 · 4+ yrs Production
🟠
Databricks Associate
AWS + Azure Production
🟦
GCP BigQuery Expert
ESG Reporting · HSBC
🐍
Python Data Engineering
PySpark · Automation · DQ
🏗️
Medallion Architecture
Bronze/Silver/Gold Expert
🔵
IBM DataStage Expert
5 years · IBM India
🔧
Azure DevOps & CI/CD
Production Pipelines
Value Proposition

Why Recruiters & Leaders
Choose Omkar

Not just another CV — a track record of delivering at the intersection of engineering excellence, data quality obsession, and cross-cloud versatility.

01

Zero-Defect Data Delivery

Every pipeline shipped with reconciliation frameworks, audit logging, DQ validation, and PyTest automation. Delivered for Virgin Australia, MPI, Costa Coffee, HSBC — zero data loss across all.

02

Microsoft Fabric Pioneer 2026

One of India's few engineers with hands-on production Fabric delivery. MPI Insurance Silver layer is live today. NASSCOM confirms Fabric is a top-3 most in-demand skill in 2026.

03

True Multi-Cloud (Not Paper)

Azure, AWS, and GCP — all in production, not LinkedIn courses. Virgin Australia (AWS), HSBC (GCP), Costa Coffee & MPI (Azure/Fabric). Real enterprise clients, real workloads.

04

Python at Enterprise Scale

Automated 500+ table migrations in a single script invocation. Healthcare, Insurance, Banking automation frameworks. Python as a force-multiplier — not scripts, but systems.

05

Commerce + Legal + Tech

B.Com (Computers) + legal awareness enables ESG compliance (HSBC), HIPAA healthcare pipelines, PCI-DSS banking, audit trails that satisfy regulators. Rare in a data engineer.

06

IBM Rigour + Consulting Speed

5 years of IBM enterprise governance combined with fast-paced consulting agility. Structured but fast — the perfect combination for any organisation.

Connect

Let's Build Something Extraordinary

Whether you're modernising legacy ETL, building a new data lakehouse, or need Python automation at enterprise scale — let's talk.

📧
Email
chittiboina.omkaar@gmail.com
📱
Phone
+91 79975 10731
📍
Location
Hyderabad, India
💼
Current
Coforge · Sr. Engineer – Data
🕐
Availability
Immediately Available
🌐
Work Mode
Hybrid / Remote / Onsite