Likhitesh A L profile photo 1 on Tal

Likhitesh A L

Associate at Cognizant | PySpark Developer | SQL |AWS | Big Data | ETL Specialist | 3 YOE @Cognizant

Bengaluru

3+ years of work experience

Cognizant
Jun 20251 yr 3 mosPresent

Bengaluru, Karnataka, India · Hybrid

Spearheaded Automation: Played a pivotal role in creating 100+ automated workflows for a major US bank, processing 2 TB of data daily and reducing manual operations by 75%. Azure Infrastructure: Designed scalable, automated data pipelines on Microsoft Azure with 99.9% reliability, leveraging Azure Data Factory, Data Lake, Databricks, PySpark, and DevOps. ETL Optimization: Built parameterized ETL pipelines to reduce data transformation time by 40%. Low-Latency Processing: Delivered data ingestion using PySpark and Delta Live Tables, successfully reducing latency to under 5 seconds for critical streams. Advanced Streaming: Developed Spark Structured Streaming with Change Data Capture (CDC) to improve incremental update efficiency by 30%. IaC Deployment: Managed Infrastructure as Code (IaC) via ARM templates, ensuring 100% deployment consistency across all environments. Leadership & Delivery: Directed a 6-person team segment to deliver 3 critical project phases 60% faster than scheduled, providing high-impact solutions in a fast-paced environment.
Cognizant
Jun 20241 yr 1 moJun 2025

Bengaluru, Karnataka, India · Hybrid

Spearheaded Automation: Played a pivotal role in creating 100+ automated workflows for a major US bank, processing 2 TB of data daily and reducing manual operations by 75%. Azure Infrastructure: Designed scalable, automated data pipelines on Microsoft Azure with 99.9% reliability, leveraging Azure Data Factory, Data Lake, Databricks, PySpark, and DevOps. ETL Optimization: Built parameterized ETL pipelines to reduce data transformation time by 40%. Low-Latency Processing: Delivered data ingestion using PySpark and Delta Live Tables, successfully reducing latency to under 5 seconds for critical streams. Advanced Streaming: Developed Spark Structured Streaming with Change Data Capture (CDC) to improve incremental update efficiency by 30%. IaC Deployment: Managed Infrastructure as Code (IaC) via ARM templates, ensuring 100% deployment consistency across all environments. Leadership & Delivery: Directed a 6-person team segment to deliver 3 critical project phases 60% faster than scheduled, providing high-impact solutions in a fast-paced environment.
Cognizant
Jun 20231 yr 1 moJun 2024

Bengaluru, Karnataka, India · Hybrid

AWS Migration: Spearheaded the migration of 5TB+ of data from legacy Ab Initio (ABI) to AWS cloud infrastructure, ensuring 99% pipeline availability and zero data loss. Quality Assurance: Executed Fermi validation across 200+ migrated datasets, achieving a 100% data accuracy rate and eliminating post-migration structural discrepancies. Snowflake Architecture: Engineered historical data loads into Snowflake for 150+ critical business tables, successfully transferring 15 years of historical data while reducing load times by 80%. ITIL Deployment: Managed 30+ successful production deployments using ServiceNow (SNOW) Change Tasks, maintaining a 0% deployment failure rate and strict adherence to ITIL protocols. Query Optimization: Optimized Snowflake data performance by resolving migration bottlenecks, accelerating query execution times by 50% and saving 10+ hours of weekly processing time.

Likhitesh’s AI Stack

claude code
claude code
codex
codex
deepmind
deepmind
gemini
gemini
openai
openai

Education

New Horizon College of Engineering

Bachelor of Engineering, Mechanical Engineering

New Horizon College of Engineering

20193 yrs2022

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Likhitesh A L on Tal

Headline

Associate at Cognizant | PySpark Developer | SQL |AWS | Big Data | ETL Specialist | 3 YOE @Cognizant

Location

Bengaluru

AI stack

claude code

codex

deepmind

gemini

openai

Work experience

Data Engineer at Cognizant, Jun 2025 - Present · 1 yr 3 mos, Bengaluru, Karnataka, India · Hybrid, Spearheaded Automation: Played a pivotal role in creating 100+ automated workflows for a major US bank, processing 2 TB of data daily and reducing manual operations by 75%. Azure Infrastructure: Designed scalable, automated data pipelines on Microsoft Azure with 99.9% reliability, leveraging Azure Data Factory, Data Lake, Databricks, PySpark, and DevOps. ETL Optimization: Built parameterized ETL pipelines to reduce data transformation time by 40%. Low-Latency Processing: Delivered data ingestion using PySpark and Delta Live Tables, successfully reducing latency to under 5 seconds for critical streams. Advanced Streaming: Developed Spark Structured Streaming with Change Data Capture (CDC) to improve incremental update efficiency by 30%. IaC Deployment: Managed Infrastructure as Code (IaC) via ARM templates, ensuring 100% deployment consistency across all environments. Leadership & Delivery: Directed a 6-person team segment to deliver 3 critical project phases 60% faster than scheduled, providing high-impact solutions in a fast-paced environment.

Junior Data engineer at Cognizant, Jun 2024 - Jun 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India · Hybrid, Spearheaded Automation: Played a pivotal role in creating 100+ automated workflows for a major US bank, processing 2 TB of data daily and reducing manual operations by 75%. Azure Infrastructure: Designed scalable, automated data pipelines on Microsoft Azure with 99.9% reliability, leveraging Azure Data Factory, Data Lake, Databricks, PySpark, and DevOps. ETL Optimization: Built parameterized ETL pipelines to reduce data transformation time by 40%. Low-Latency Processing: Delivered data ingestion using PySpark and Delta Live Tables, successfully reducing latency to under 5 seconds for critical streams. Advanced Streaming: Developed Spark Structured Streaming with Change Data Capture (CDC) to improve incremental update efficiency by 30%. IaC Deployment: Managed Infrastructure as Code (IaC) via ARM templates, ensuring 100% deployment consistency across all environments. Leadership & Delivery: Directed a 6-person team segment to deliver 3 critical project phases 60% faster than scheduled, providing high-impact solutions in a fast-paced environment.

Data Engineer Trainee at Cognizant, Jun 2023 - Jun 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India · Hybrid, AWS Migration: Spearheaded the migration of 5TB+ of data from legacy Ab Initio (ABI) to AWS cloud infrastructure, ensuring 99% pipeline availability and zero data loss. Quality Assurance: Executed Fermi validation across 200+ migrated datasets, achieving a 100% data accuracy rate and eliminating post-migration structural discrepancies. Snowflake Architecture: Engineered historical data loads into Snowflake for 150+ critical business tables, successfully transferring 15 years of historical data while reducing load times by 80%. ITIL Deployment: Managed 30+ successful production deployments using ServiceNow (SNOW) Change Tasks, maintaining a 0% deployment failure rate and strict adherence to ITIL protocols. Query Optimization: Optimized Snowflake data performance by resolving migration bottlenecks, accelerating query execution times by 50% and saving 10+ hours of weekly processing time.

Education

Bachelor of Engineering, Mechanical Engineering, New Horizon College of Engineering