Akash Mangla profile photo 1 on Tal

Akash Mangla

Senior Director of Engineering @ Paytm | Data and Backend Engineering, Technology Innovation

Faridabad

4+ years of work experience

Paytm
201610 yrs 10 mosPresent

Noida

Data Platform & Backend Organization • Own Paytm's enterprise Data Platform and critical Backend engineering ecosystems, driving strategy, architecture, execution and long-term technology evolution. • Lead a 50-member organization spanning Data Engineering and Backend Services, including 7 managers; own hiring, talent development and cross-functional delivery. • Direct technology roadmaps, AOP, engineering budgets and platform economics across data infrastructure and operational backend systems. • Lead architecture across distributed systems, data platforms, APIs, high-throughput processing and production reliability. Backend Systems & PAP → PAO Transformation • Led consolidation and architectural overhaul of Paytm's core backend payment systems, migrating 100% of PAP transaction traffic to PAO in ~1 month. • Directed backend teams through a highly business-critical migration involving high-throughput transaction processing, API routing and production readiness. • Drove backend platform consolidation to leverage PAO's scalable distributed infrastructure and simplify the payment technology landscape. Enterprise Data Platform & Scale • Lead a ~12 PB data platform spanning ~5,000 datasets and processing ~14B Kafka events/day across batch and real-time workloads. • Built and scaled in-house Data Lake and monitoring/observability platforms supporting enterprise-wide data operations. • Drive platform reliability and operational excellence for business-critical data and backend infrastructure at 99.9% availability. Cost, Governance & Reliability Transformation • Reduced Data/Backend platform compute and storage costs from ~$1.62M to ~$1.08M, delivering ~33% cost reduction and ■6 Cr September savings/impact. • Established cost-management initiatives across microservices, compute, storage and workload architecture while maintaining business-critical SLAs. • Led enterprise Data Governance capabilities for PII discovery, masking, encryption and Apache Ranger-based access contr
Paytm
May 20251 yr 2 mosJun 2026

Noida, Uttar Pradesh, India

Paytm
Jul 202411 mosMay 2025

Noida, Uttar Pradesh, India

As a Senior Engineering Manager at Paytm, I lead a talented team of 30 data and backend engineers dedicated to pushing the boundaries of data engineering and technology innovation. With a strong focus on building robust data ingestion frameworks, real-time ingestion pipelines, and growth frameworks, our team is at the forefront of transforming data into actionable insights and driving scalable solutions.
Zopper.com
Jan 20169 mosSep 2016

Noida Area, India

Zopper.com
Sep 20151 yr 1 moSep 2016

• Designed and developed scalable backend systems and RESTful APIs using Java and Python, optimizing core application performance.
Samsung Switzerland
Jul 20141 yr 3 mosSep 2015

Noida Area, India

• Contributed to backend software engineering and enterprise application development using Java, supporting high-availability production systems.

Akash’s AI Stack

claude code
claude code
cursor
cursor

Education

Bachelor of Engineering (B.E.), Computer Science

National institute of technology kurukshetra

20104 yrs2014
National Institute of Technology, Kurukshetra, Haryana

Bachelor of Technology, Computer Engineering

National Institute of Technology, Kurukshetra, Haryana

Join Akash and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Akash Mangla on Tal

Headline

Senior Director of Engineering @ Paytm | Data and Backend Engineering, Technology Innovation

About

With over a decade of experience in software engineering, I currently serve as the Senior Director of Engineering at Paytm, leading initiatives in data engineering, big data platforms, and backend technologies. I specialize in designing and building large-scale data platforms, real-time data ingestion frameworks, and high-performance backend systems that power data-driven products at scale. My expertise spans distributed systems, Apache Spark, Kafka, Flink, Trino, AWS, and modern data lake architectures, with a strong focus on scalability, reliability, and operational excellence. At Paytm, I lead engineering teams responsible for developing robust data ingestion frameworks, real-time pipelines, and platform capabilities that enable billions of events to be processed efficiently while supporting business-critical analytics and decision-making. I am passionate about solving complex engineering challenges, mentoring high-performing teams, and leveraging emerging technologies, including AI, to drive innovation and accelerate engineering productivity. My goal is to build scalable technology platforms that create long-term business impact while fostering a culture of technical excellence and continuous learning.

Location

Faridabad

AI stack

claude code

cursor

Work experience

Senior Director of Engineering at Paytm, 2016 - Present · 10 yrs 10 mos, Noida, Data Platform & Backend Organization • Own Paytm's enterprise Data Platform and critical Backend engineering ecosystems, driving strategy, architecture, execution and long-term technology evolution. • Lead a 50-member organization spanning Data Engineering and Backend Services, including 7 managers; own hiring, talent development and cross-functional delivery. • Direct technology roadmaps, AOP, engineering budgets and platform economics across data infrastructure and operational backend systems. • Lead architecture across distributed systems, data platforms, APIs, high-throughput processing and production reliability. Backend Systems & PAP → PAO Transformation • Led consolidation and architectural overhaul of Paytm's core backend payment systems, migrating 100% of PAP transaction traffic to PAO in ~1 month. • Directed backend teams through a highly business-critical migration involving high-throughput transaction processing, API routing and production readiness. • Drove backend platform consolidation to leverage PAO's scalable distributed infrastructure and simplify the payment technology landscape. Enterprise Data Platform & Scale • Lead a ~12 PB data platform spanning ~5,000 datasets and processing ~14B Kafka events/day across batch and real-time workloads. • Built and scaled in-house Data Lake and monitoring/observability platforms supporting enterprise-wide data operations. • Drive platform reliability and operational excellence for business-critical data and backend infrastructure at 99.9% availability. Cost, Governance & Reliability Transformation • Reduced Data/Backend platform compute and storage costs from ~$1.62M to ~$1.08M, delivering ~33% cost reduction and ■6 Cr September savings/impact. • Established cost-management initiatives across microservices, compute, storage and workload architecture while maintaining business-critical SLAs. • Led enterprise Data Governance capabilities for PII discovery, masking, encryption and Apache Ranger-based access contr

Director of Engineering at Paytm, May 2025 - Jun 2026 · 1 yr 2 mos, Noida, Uttar Pradesh, India

Senior Engineering Manager at Paytm, Jul 2024 - May 2025 · 11 mos, Noida, Uttar Pradesh, India, As a Senior Engineering Manager at Paytm, I lead a talented team of 30 data and backend engineers dedicated to pushing the boundaries of data engineering and technology innovation. With a strong focus on building robust data ingestion frameworks, real-time ingestion pipelines, and growth frameworks, our team is at the forefront of transforming data into actionable insights and driving scalable solutions.

Software Engineer at Zopper.com, Jan 2016 - Sep 2016 · 9 mos, Noida Area, India

Software Engineer at Zopper.com, Sep 2015 - Sep 2016 · 1 yr 1 mo, • Designed and developed scalable backend systems and RESTful APIs using Java and Python, optimizing core application performance.

Software Engineer at Samsung Switzerland, Jul 2014 - Sep 2015 · 1 yr 3 mos, Noida Area, India, • Contributed to backend software engineering and enterprise application development using Java, supporting high-availability production systems.

Education

Bachelor of Engineering (B.E.), Computer Science, National institute of technology kurukshetra

Bachelor of Technology, Computer Engineering, National Institute of Technology, Kurukshetra, Haryana